6,505 Verified Remote Data Analyst Jobs (September 2026)

Join Data Insight Partners as a Junior Data Analyst and make a positive impact in education using data. This entry-level remote role involves supporting K–12 schools by creating user-friendly data reports that empower students and families. Enjoy a flexible schedule, comprehensive healthcare benefits, and mentorship support for career growth.

Posted 2 weeks ago

Join Hire Hangar as a Junior Data Analyst, where you can build a long-term career with global companies. This role is ideal for recent graduates, career switchers, or self-taught learners eager to delve into data analytics. You'll have the opportunity to work alongside experienced professionals, collecting and analyzing data, creating reports, and monitoring key metrics. If you're detail-oriented and have a strong desire to learn, this position could be your stepping stone into the field.

Posted 2 weeks ago

SwissBorg is building the future of crypto wealth management—making investing more accessible, transparent and intuitive for everyone. At the core of our platform is the Meta-Exchange (MEX), a smart routing engine that connects multiple exchanges and liquidity sources to deliver optimal execution in a single, seamless app. We're Swiss-engineered, regulated, and trusted by nearly one million users managing over $1B in crypto assets. But beyond the numbers, what drives us is the people behind every wallet—and a commitment to continuously improving how they experience and interact with crypto. As a Junior Business Data Analyst, you will turn data into the clear answers our teams need to make real decisions, not just another dashboard. Data analysis at SwissBorg goes beyond just answering questions. As a team, we also shape the data behind the analysis, curating well-modelled tables so that teams can self-serve insights and our AI assistants work from data they can trust. You'll work across the full scope of data analysis, from cleaning the raw data to presenting your results, with senior analysts mentoring you along the way. And your growth doesn't stop there: our systematic performance reviews and structured analyst career ladder will guide your progression, whether you want to deepen your technical skills or grow into leadership. SwissBorg is building the future of crypto wealth management—making investing more accessible, transparent and intuitive for everyone. At the core of our platform is the Meta-Exchange (MEX), a smart routing engine that connects multiple exchanges and liquidity sources to deliver optimal execution in a single, seamless app. We're Swiss-engineered, regulated, and trusted by nearly one million users managing over $1B in crypto assets. But beyond the numbers, what drives us is the people behind every wallet—and a commitment to continuously improving how they experience and interact with crypto. As a Junior Business Data Analyst, you will turn data into the clear answers our teams need to make real decisions, not just another dashboard. Data analysis at SwissBorg goes beyond just answering questions. As a team, we also shape the data behind the analysis, curating well-modelled tables so that teams can self-serve insights and our AI assistants work from data they can trust. You'll work across the full scope of data analysis, from cleaning the raw data to presenting your results, with senior analysts mentoring you along the way. And your growth doesn't stop there: our systematic performance reviews and structured analyst career ladder will guide your progression, whether you want to deepen your technical skills or grow into leadership. Day to day: Conduct exploratory analysis to answer well-defined business questions, and summarise your findings into clear reports and presentations with actionable takeaways. Build, monitor and maintain the dashboards that our product and operations teams rely on daily. Work directly with product managers and operational leads to understand their needs and translate them into data work. Support senior analysts on larger projects, from experiment analysis to deep-dive investigations, learning our methods as you go. Help maintain and improve the data team's documentation, queries and standards. Take full ownership of the accuracy and reliability of everything you deliver. About you: You are either a graduate or a junior Data Analyst with 1-3 years of experience, holding a Bachelor's or Master's degree in any of the following: Business Analytics, Business Informatics, Data Analytics, Data Science, Business Intelligence, Econometrics or a similar quantitative field. Your studies or internships/professional experience included most of the following: A foundation in statistics Data processing/programming for analysis Data visualisation Hands on work with SQL and data analysis A capstone or real company data project You communicate clearly and can make data understandable to non-technical colleagues. You are detail oriented and curious, with the drive to resolve problems yourself before asking for help. You have a general interest in decentralisation (Web3, Blockchain, Crypto) Nice to have: Knowledge of experimental statistics and processes. Experience with BI tools, ideally Metabase. Experience with the data transformation process, ideally dbt. Experience with Python or R for data analysis. Why SwissBorg 🪙Annual BORG bonus ⏰Genuine remote and flexible working 🏖️ 25 days annual leave plus local bank holidays 📚Learning and development budget 💻 MacBook and home office budget ✈️ Team and wider company retreats 📱SwissBorg Premium account 💰VSOP share options 🤗 BORG welcome bonus 🔍You can learn more about us here and follow us on LinkedIn and X for company updates and check out our weekly Pow Wows ! 🤖 A note on AI in our hiring process We use AI tools at certain stages of our hiring process to help assess applications fairly and efficiently. These tools assist—they don't decide. Every hiring decision is made by a human. At SwissBorg, we embrace diversity. We strongly believe that getting the best outcome requires different perspectives and backgrounds. We’re committed to openness, curiosity and creating an inclusive culture because we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone!

Posted 3 weeks ago

Connexus Credit Union is seeking an HR Data Analyst who will work remotely to transform workforce data into actionable insights. The candidate will develop dashboards and reports to inform organizational decisions and enhance employee experiences. Responsibilities include data analysis, stakeholder collaboration, and ensuring data quality and compliance. Applicants should have a Bachelor's degree and 5+ years of relevant experience. Connexus offers an attractive benefits package including paid time off, 401K matching, and tuition reimbursement.

Posted 1 week ago

Binance, the world's leading blockchain ecosystem, is seeking a Product Data Analyst Intern to join their Risk/Data team. This role offers an opportunity to work with data pipeline development, SQL analytics, and data standardization under senior guidance. Prospective interns should be pursuing a degree in a related field, possess solid SQL skills, and have an eagerness to learn. The internship promises hands-on experience in a dynamic environment, fostering career growth and innovative project engagement.

Posted 3 weeks ago

Marketing Data Analyst Location: Remote Status: Full-Time At Marketing Architects, we believe TV advertising is still the most powerful marketing channel. But the typical process for TV is expensive, difficult to scale and to measure. So we flipped the traditional approach on its head and rebuilt the agency model with the client in mind. Today, we're growing a team of talent from across the United States to reimagine how brands advertise on TV. ROLE OVERVIEW The Data Analyst is a core member of our Analytics team, responsible for answering real business questions using marketing and media data. You’ll report to the Director of Analytics and work closely with cross-functional partners to ensure our measurement is accurate, thoughtful and actionable. This role is closest to the data and we’re taking an all-inclusive approach to help clients effectively navigate the complexities of measuring television advertising effectiveness. You’ll deeply understand campaign inputs, assumptions and outputs, and you’ll help teams and clients clearly understand what the numbers mean (and what to do next). We expect AI to be part of how you work. Use it to move faster and cover more ground than an analyst could alone, and bring the judgment that decides which answers are actually right. What you'll do: Deliver accurate analysis : Complete high-quality analyses that directly answer business and client questions, ensuring data accuracy, and consistency. Evaluate TV performance : Measure the impact of TV and streaming campaigns on digital performance, business outcomes and overall marketing effectiveness. Uncover actionable insights : Go beyond surface-level results to identify patterns, risks and opportunities that strengthen campaign decisions. Validate data and assumptions : Question inputs, methodologies and outputs to ensure results make sense and stand up to scrutiny. Including AI-generated outputs. Translate data into clarity : Build clear visualizations and explain findings in plain language so internal teams and clients can confidently act on them. Work AI-forward : Use AI tools to accelerate querying, scripting, QA and first-draft analysis so you can test more scenarios and turn work around faster using appropriate context, then apply your own judgment to what the results mean. Who you are: An agency-trained analyst : 2–5 years of experience in marketing analytics, media analytics or a related quantitative field, ideally supporting campaign measurement. Strong academic foundation : 3.5 GPA or equivalent academic performance in a quantitative field such as business, economics, statistics, mathematics, computer science, marketing or similar. Data-literate : You interpret performance data, identify trends, and connect insights back to defined KPIs to inform decisions. Strong in Excel : Comfortable using formulas, pivots tables and structured analysis to organize, validate and analyze large datasets. Experienced with BI or data tools : You’ve worked in platforms like Domo, Databricks, SQL or similar environments to explore and troubleshoot data. Presentation-ready : You’ve built clear, client-ready slides that explain campaign results or analytical findings in a logical way and can present them with confidence. AI-enabled : You use AI tools to improve workflows, explore data or enhance analysis and you understand their strengths and limitations. You can point to work AI helped you do faster or more thoroughly, and you can explain your methodology and your math without it. Accountable for the answer : The conclusions are yours. You can walk anyone through the logic, the assumptions and the numbers unaided, and you know when a tool’s output needs to be thrown out. Our values: Hungry Humble Smart: We seek a trifecta of talent. We take initiative and act with urgency. Look inwards before outwards. Value EQ over IQ. Mindset Matters: Success starts between our ears. We face challenges with a calm confidence and pivot quickly. As eternal optimists, we know we are capable of great things and have survived worse. Our best days are always ahead. Team Is Hero: We, not me. Being a hero is a team sport and it's the unique talents of many that make us one of a kind. No one person can win the day, but great teams can change the world. BENEFITS OVERVIEW We offer rewarding careers that encourage growth while providing industry-leading benefits including: Fully remote within the US 100% employer-paid medical, dental and disability, with vision option Traditional and Roth 401(k) with a 4% company match Flexible paid time off, 9 paid holidays plus 2 floating holidays Paid parental leave Annual office supply allowance, monthly internet stipend and employer-paid cell phone Opportunities to connect virtually and in-person twice a year with our fully remote team Learn more at marketingarchitects.com/careers ADDITIONAL INFORMATION We want applications from everyone, regardless of race, creed, color, religion, sex, sexual orientation, gender identity, national origin, marital status, citizen status, age, disability, military or protected veteran status, genetic predisposition or carrier status or any other legally protected status. Our remote-friendly work model supports flexibility across the US, however we are currently unable to support employment in California. We are unable to consider applicants who live outside of the US. At this time, we're not considering candidates that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, O-1, etc. The application for this position may request a short, job relevant assessment as part of our multi-stage interview process. Reasonable accommodations are available for this assessment, please reach out to [email protected]. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location and market demands. The base pay range is subject to change and may be modified in the future. #LI-Remote

Posted 1 week ago

Zicasso, a leading luxury travel company, seeks a Marketing Data Analyst to extract actionable insights from complex datasets that drive business success. The ideal candidate will collaborate closely with various departments, including marketing, product, and customer experience, to optimize strategies for customer acquisition and retention. The role involves interpreting data, developing dashboards, and conducting user behavior analysis, all while ensuring data quality. Zicasso values creativity and initiative in a remote, global work environment, offering opportunities for both professional growth and immersive travel experiences.

Posted 1 week ago

About Collectly Collectly is a fast-growing healthcare technology company transforming revenue cycle management (RCM) through AI-driven automation. Millions of patients navigate inefficient billing systems every day, while providers face delayed payments, rising administrative burden, and operational complexity. Collectly applies artificial intelligence to automate workflows, accelerate cash flow, and modernize the patient financial experience; enabling healthcare organizations to operate more efficiently and focus on delivering care. There could not be a hotter space to play in. Healthcare is a $4.9T industry and is adopting AI technology at 2.2x the rate of the rest of the economy. RCM is at the heart of this transformation as it has a clear and demonstrable ROI to our customers. About the role We’re hiring a Senior Product Data Analyst to own how customers and our own teams see product performance. You will work both on our pre-service products (visit cost estimates, eligibility and benefits, patient support voice agent) and post-service (patient billing, revenue cycle metrics). You’ll own the dashboards for these products, provide visibility into our product performance, and use the data to find product gaps. You’ll build customer-facing metrics yourself, mostly with AI tools like Claude Code. This is a product role more than an infrastructure one: we want your time going into how each product behaves and what customers run into, not into maintaining pipelines. We are a hybrid company, partly based in Santa Monica, USA and partly remote, spread out around the United States Europe. About Collectly Collectly is a fast-growing healthcare technology company transforming revenue cycle management (RCM) through AI-driven automation. Millions of patients navigate inefficient billing systems every day, while providers face delayed payments, rising administrative burden, and operational complexity. Collectly applies artificial intelligence to automate workflows, accelerate cash flow, and modernize the patient financial experience; enabling healthcare organizations to operate more efficiently and focus on delivering care. There could not be a hotter space to play in. Healthcare is a $4.9T industry and is adopting AI technology at 2.2x the rate of the rest of the economy. RCM is at the heart of this transformation as it has a clear and demonstrable ROI to our customers. About the role We’re hiring a Senior Product Data Analyst to own how customers and our own teams see product performance. You will work both on our pre-service products (visit cost estimates, eligibility and benefits, patient support voice agent) and post-service (patient billing, revenue cycle metrics). You’ll own the dashboards for these products, provide visibility into our product performance, and use the data to find product gaps. You’ll build customer-facing metrics yourself, mostly with AI tools like Claude Code. This is a product role more than an infrastructure one: we want your time going into how each product behaves and what customers run into, not into maintaining pipelines. We are a hybrid company, partly based in Santa Monica, USA and partly remote, spread out around the United States Europe. Key responsibilities In this role you will Own the dashboards that product and customer teams work from, across most of our products. Turn complaints and open questions into defined metrics, and track them over time. Catch product issues in the data before they become escalations. Work with the founder, product managers, engineers, and customer success to decide what to measure, and explain why a number moved. Required qualifications Must-haves At least 4 years in data or product analytics. Strong SQL and Python. A product mindset: you start from what the customer experiences, not from what’s in the tables. Fluency with AI-assisted development — we build dashboards and analyses with agentic coding tools (Claude Code and similar) as part of the day-to-day. Healthy skepticism about numbers: you validate before you trust. Exceptional written and oral communication skills. Nice-to-haves Startup experience. Experience building dashboards people actually use (Metabase, Looker, or similar). Healthcare experience: eligibility and benefits, patient billing, revenue cycle. Comfort reading application code to see where a number comes from. Collectly is a tech-enabled patient billing platform that works as an add-on for your EHR/PM. Collectly accelerates and increases patient cash flow, streamlines post-service billing operations, and provides the best patient experience that works for all demographics. Please, see a short video about us

Posted 1 week ago

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. We are looking for a Senior Product Data Analyst to join the Product DA team, partnering closely with Product Managers, Engineers, and Business stakeholders to drive data-informed product decisions. You will own end-to-end analytics for product strategy — from defining metrics and designing experiments to delivering actionable insights that directly impact user conversion, engagement, and business growth. We are looking for a Senior Product Data Analyst to join the Product DA team, partnering closely with Product Managers, Engineers, and Business stakeholders to drive data-informed product decisions. You will own end-to-end analytics for product strategy — from defining metrics and designing experiments to delivering actionable insights that directly impact user conversion, engagement, and business growth. Responsibilities: Work across all aspects of product data — from data engineering to building sophisticated dashboards, experiment frameworks and predictive models — in support of user growth and product strategy Analyze and interpret large (PB-scale) volumes of user behavioral, transactional, and operational data using proprietary and open source data tools, platforms and analytical toolkits Design and evaluate A/B experiments end-to-end: hypothesis formulation, experiment design, statistical analysis (significance testing, uplift calculation), and actionable recommendations Define and maintain core product metrics hierarchy (CTR, conversion rate, retention, etc.), set OKR targets, and continuously evaluate performance Translate complex findings into simple visualizations and recommendations for execution by product, operational teams and executives Be part of a fast-paced industry and organization where time to market is critical Requirements: Degree in a quantitative discipline, such as Mathematics/Statistics, Computer Science, Engineering, Economics, or Data Science At least 3 years of full-time work experience in a Product Analytics or Data Science role Rich product strategy analysis experience, especially in user growth, conversion optimization, or recommendation systems Hard Requirement A natural curiosity to identify, investigate and explain trends and patterns in data, and an ability to break down complex concepts and technical findings into clear, simple language Prior experience with A/B testing platforms and statistical experiment design preferred A passion for Emerging Technologies related to Blockchain, Machine Learning and AI Bilingual in Chinese and English (both written and verbal communication) Competency in two or more of the following: SQL (Hive/SparkSQL) with large-scale data warehouse experience A data visualization tool (e.g. DataWind, Tableau, PowerBI) Programming for data analysis and automation (e.g. Python, R) Workflow orchestration tools (e.g. Airflow) Nice to Have: Experience in crypto/fintech or high-growth consumer products Experience with personalization/recommendation systems analytics Familiarity with event tracking systems (e.g. Sensors, Mixpanel) Experience building metrics dictionaries or data governance frameworks Experience mentoring junior analysts Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice .

Posted 3 weeks ago

Join Hire Hangar and work with fast-growing global companies while building a long-term career. Lead Data Analyst Location: Remote Working Hours: US Time Zones (PST - EST) Key Responsibilities: Lead the development and execution of analytical frameworks to support business goals Collaborate with stakeholders to translate business questions into data projects Design and maintain dashboards, reports, and advanced analytics models Mentor junior analysts and ensure high standards in data quality and storytelling Recommend process improvements based on data-driven insights Stay ahead of industry trends, tools, and best practices Qualifications: 3+ years of experience in a data analysis or business intelligence role Strong command of SQL and Python /R for analysis and modeling Hands-on experience with BI tools like Tableau, Power BI, or Looker Proven track record of leading projects and teams Excellent communication skills with the ability to explain complex data to non-technical stakeholders Tools Technology Python, SQL, or Scala Apache Airflow, dbt, or equivalent pipeline orchestration tools Snowflake, BigQuery, or Redshift AWS, GCP, or Azure Kafka or Spark (advantageous) Google Workspace Slack, Zoom, Jira, and other remote collaboration tools Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Posted 4 weeks ago

About the Role Hi, I'm Aurobind, Head of IT, Systems and Data at Jane. We're rebuilding how we manage data and analytics at Jane. Our goal is to establish a trusted data foundation that powers self-service analytics, AI, and consistent business metrics across the company. This role is focused on Product Analytics—but not in the traditional sense of generating insights or building dashboards. Instead, you'll focus on building the technical foundation that enables Product teams to answer their own questions with confidence. You'll partner closely with Engineering, Product, and Growth to improve product instrumentation, build scalable dbt models, standardize business logic, and create governed datasets that power reporting, experimentation, and AI. You'll also help establish the standards for how product data is modeled, tested, documented, and maintained as our analytics platform continues to evolve. If you enjoy solving complex technical problems, building scalable data foundations, and enabling others through trusted data, this role is a great fit. What Impact We’re Looking for You to Make Build and maintain the product analytics data foundation that powers reporting, self-service, experimentation, and AI. Partner with Engineering to define, implement, and validate product instrumentation before new features are released. Design and maintain scalable dbt models that transform raw product events into trusted analytical datasets. Build semantic models, standardized business logic, and governed metric definitions that ensure consistent product metrics across dashboards, self-service, and AI. Develop certified datasets that power modern analytics and visualization platforms such as Looker, Omni, Hex , and similar technologies. Partner with Product Managers to translate business requirements into scalable, trusted, and reusable analytical data models. Monitor product data pipelines, identify instrumentation gaps and data quality issues, and implement scalable, long-term improvements. Continuously improve how product data is modeled, governed, documented, and consumed across the analytics platform. Leverage AI to accelerate analytics engineering workflows, including data modeling, testing, documentation, and code development. What Experience We Need 6+ years of experience in Product Data Analyst, Analytics Engineering, or a similarly technical data role within a SaaS or high-growth technology company. Expert-level SQL skills and deep experience designing scalable analytical data models, with a strong understanding of data architecture and query performance optimization. 6+ years of experience building, deploying, and maintaining dbt projects in production environments. Experience modeling behavioral product data and building event-driven analytical datasets. Experience partnering with Engineering teams to define product instrumentation requirements and improve the quality and reliability of product event data. Experience working with Customer Data Platforms (CDPs) such as Segment or RudderStack . Experience designing semantic models, reusable business logic, governed datasets, and trusted metric definitions that enable consistent analytics across multiple consumption layers. Experience implementing data quality testing, documentation, observability, and governance best practices. Experience building or supporting modern analytics and visualization platforms such as Looker, Omni, Hex, Sigma , or similar technologies. Strong understanding of how semantic models and governed metrics are consumed across dashboards, self-service analytics, and AI experiences. Experience working with modern cloud data platforms such as Snowflake, BigQuery, or Redshift . Experience using AI tools such as Cursor, Claude Code , or similar technologies to improve analytics engineering workflows. Strong communication skills and the ability to partner effectively with Engineering, Product, Analytics, and business stakeholders. If you don’t meet every single qualification but are excited about this role, we’d still love to hear from you. More About Jane Jane is a founder-led, high-growth SaaS company born in North Vancouver, British Columbia. We’re now a team of more than 850 people working remotely across Canada, the US, and the UK, united by our mission to help the helpers. We build the products and tools that thousands of clinics rely on every day to run their businesses, care for their patients, and grow their communities. That level of impact means every person at Jane plays an important role in how we show up for our customers. We’re all responsible for being deeply connected to their needs, obsessed with improving their experience, and proud of the difference our work makes in their day-to-day lives. Jane is growing fast, and that growth brings exciting challenges that call for adaptability, resilience, learning agility, and humility. We’re proud of what we’ve built and quick to admit what we don’t know yet. We listen, learn, and adjust as we go. We’re also embracing the possibilities of AI, using it to work smarter, improve our systems, and create even better experiences for our customers and our team. Our goal isn’t just delivery, it’s delight. We move quickly, communicate openly, and solve real problems together. If you’re energized by ambiguity, motivated by impact, and eager to learn with others, you’ll thrive at Jane. Compensation Benefits At Jane, we’re committed to paying fairly, clearly, and above all, paying for growth. This role has an annual salary range of $125,200 to $195,600. While that is a large range, it is intentional. It reflects the full growth journey someone might take in the role, from developing skills early on to becoming highly proficient and ultimately achieving excellence. Most new hires join at the accomplished stage, which for this role represents an annual salary of $148,700. A starting salary below this typically indicates a candidate with strong potential who is still developing key skills. Salaries above this usually apply to existing team members who have made a significant impact and bring deep Jane-specific knowledge. We believe in paying for growth . You’ll have regular career development conversations with your manager and your compensation will grow as you gain experience and contribute meaningfully to our mission. Paying clearly is one of our compensation fundamentals. Watch this short video to learn how our salary bands are set. You’re also encouraged to ask questions about compensation at any point during the interview process. We also offer a comprehensive benefits package, you can learn more about it here: Canadian Benefits · US Benefits Jane takes job scams and candidate fraud seriously. Jane will only contact you from an @ jane.app email address. We'll never contact you from a personal email, ask for payment, or request purchases during the hiring process. If something doesn't seem right, please reach out to us at [email protected] before sharing any personal information.

Posted 4 weeks ago

📌 Position: Senior Data Analyst / BI Analyst Location: Remote from LATAM Contract Type: Full-time vendor (Contract directly with In All Media) Time Zone Alignment: US Central Time (CT) overlap (6+ hours) 🧭 About In All Media In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation. Contract Details: This is a 100% remote contractor position open to talent anywhere in LATAM. Your contract and engagement will be directly managed with In All Media. 🚀 Project Overview This engagement focuses on modernizing, scaling, and maintaining enterprise business intelligence and data analytics environments. The core objective is to transform raw corporate data into actionable strategic insights, build performant analytical models, design production-grade reporting dashboards, and partner directly with business stakeholders to drive data-informed operations. 🔍 Key Responsibilities Dashboarding Reporting: Design, build, and deploy production dashboards and interactive reporting suites using enterprise platforms like Tableau, Looker, or Power BI. Advanced Query Optimization: Write, maintain, and optimize complex, high-performing SQL queries, window functions, and CTEs to extract and transform large-scale datasets. Stakeholder Collaboration: Partner with business teams to define key performance indicators (KPIs), translate complex requirements into technical solutions, and deliver actionable insights. Cloud Data Analytics: Query, validate, and analyze enterprise data hosted across cloud data warehouses and analytical platforms like Snowflake, Databricks, or BigQuery. Agile Execution Delivery: Independently manage analytical tasks within active Agile delivery sprints, ensuring high data accuracy and cross-functional alignment. 💡 Must-Have Skills Experience Level: 5+ years of hands-on experience as a Data Analyst or BI Analyst in an enterprise setting. Advanced SQL: Expertise in writing complex, highly performant SQL queries (window functions, aggregations, CTEs) for data extraction and transformation. Enterprise BI Tools: Proven experience building production dashboards using enterprise reporting platforms (e.g., Tableau, Looker, or Power BI). Cloud Data Platforms: Hands-on experience working with enterprise cloud data warehouses and analytical platforms (e.g., Snowflake, Databricks, BigQuery). Data Analysis Stakeholder Collaboration: Strong analytical skills paired with a track record of partnering with business teams to deliver actionable insights. 🌟 Nice-to-Have Skills Scripting Languages: Experience using Python or R for exploratory data analysis, data manipulation, and automation scripts. Cloud Ecosystems: Familiarity with AWS (Amazon Web Services) or other enterprise cloud infrastructure environments. Data Engineering Literacy: Practical understanding of dimensional data modeling concepts and ETL (Extract, Transform, Load) / ELT data pipeline architectures. 🌐 Time Zone Collaboration This role requires a minimum overlap of 6 hours with US Central Time (CT) business hours during a standard 8-hour workday to collaborate effectively with distributed engineering and business teams. 💬 Language All interviews, technical documentation, daily team syncs, and operational communications will be conducted in English.

Posted 1 week ago