17,695 Verified Data Analyst Jobs (June 2026)
Data analytics jobs in June 2026 can span analyst, reporting, business intelligence, product analytics, and operations-focused roles, with postings often centered on SQL, dashboards, data quality, and stakeholder reporting. Expect a mix of remote, hybrid, and on-site openings across teams that need clearer metrics and better decision support. Create an account to explore the full job feed and auto-apply with LiftmyCV AI Agent.
Senior Data Analyst - Customer Analytics
RemoteMNTN is seeking a Senior Data Analyst in Customer Analytics to join its Business Analytics team. This role focuses on improving customer outcomes across the Connected TV advertising platform by analyzing data related to customer behavior and campaign performance. The analyst will collaborate with various teams to deliver insights and reporting solutions. Candidates should have over 5 years of experience in data analytics, strong SQL skills, and familiarity with Python and Tableau. The position offers remote work flexibility, competitive compensation, and comprehensive health benefits.
Posted 2 days ago
Analytics Engineer/Data Analyst
On-siteDatamaxis is seeking an experienced Analytics Engineer to join their team on a contract basis. The role involves building and maintaining scalable analytics data pipelines and transforming raw data into reliable datasets. The ideal candidate should have strong SQL skills and expertise in Snowflake, dbt, and Tableau, accompanied by a solid grasp of data modeling and analytics practices.
Posted 3 days ago
Data Analyst - Analytics Engineering
HybridSatispay is seeking a Data Analyst - Analytics Engineering to enhance decision-making through scalable data assets and AI-driven workflows. You will be integral to the Growth & Marketing B2C Analytics team, focusing on creating effective data architectures, visualizations, and partnerships across departments. Ideal candidates have a strong background in data-related roles, including 5+ years in analytics, proficiency in SQL and Python, and familiarity with AI tools. The role emphasizes problem-solving, stakeholder management, and understanding of digital consumer lifecycles.
Posted 2 weeks ago
Senior Data Analyst - Shop Analytics
On-siteABOUT YOU is one of the fastest-growing e-commerce companies in Europe, aiming to redefine online shopping. The company seeks a Senior Data Analyst to join its Shop Analytics team, focusing on analyzing e-commerce data to improve shopping experiences. This role involves collaboration with Product Owners and cross-functional teams to support A/B testing, develop tracking concepts, and derive actionable business insights from user behavior. Candidates should have at least five years of relevant experience in data analysis, SQL, and e-commerce KPIs.
Posted 3 weeks ago
Data Analyst Sénior (Digital Analytics)
On-siteNEXTON is looking for a Senior Data Analyst in Lyon to support a major banking client within their Data department. The position involves collaborating with Business Analysts, collecting and analyzing data, and creating dashboards. Ideal candidates have at least 6 years of experience, strong SQL skills, and expertise in data visualization tools. Knowledge of the banking sector is preferred. NEXTON offers a dynamic work environment with opportunities for professional growth, community support, and various employee benefits.
Posted 2 weeks ago
Senior Data Analyst (AI-Enabled Analytics)
HybridGotPhoto is seeking a Senior Data Analyst to enhance their analytics capabilities. This role involves partnering with the CEO Office and Customer Operations teams to establish a robust data framework. The ideal candidate will have over five years of experience in data analytics, especially in B2B SaaS or e-commerce environments, and will be proficient in SQL and Snowflake. Join GotPhoto in empowering photographers and driving innovation in the industry through advanced analytics.
Posted 3 days ago
Data Analyst - Marketing and Sales Analytics
On-siteWindow Nation is seeking a passionate Data Analyst to drive business growth through data insights. The ideal candidate will collaborate with leaders across Marketing, Sales, and Operations to analyze performance metrics and identify opportunities. With a focus on data-driven decision-making, this role is pivotal in shaping business strategy. Ideal candidates will possess strong analytical skills, a related degree, and experience with business intelligence tools. The position offers competitive compensation and career growth within a rapidly expanding organization.
Posted 2 days ago
Financial and Data Analyst – Disbursement Analytics
On-siteNTT DATA is seeking a Financial and Data Analyst for Disbursement Analytics to join their innovative team in San José, Costa Rica. The ideal candidate will have experience in data analysis and be adaptable to new challenges. Responsibilities include supporting loan disbursement processes, developing dashboards, and utilizing advanced analytical tools. Candidates should possess a degree in a quantitative field and have strong skills in Python and Power BI. NTT DATA values diversity and offers opportunities for professional growth in a dynamic environment.
Posted 3 weeks ago
Senior Healthcare Data Analyst - Analytics
RemoteQualified Health is seeking a Senior Healthcare Data Analyst who will bridge the gap between healthcare analytics, clinical informatics, and data strategy. This role involves utilizing deep clinical knowledge and analytics skills to evaluate the impact of AI solutions on patient care. The analyst will work closely with clinical and operational stakeholders to translate data into actionable insights, impacting product strategies and customer success.
Posted 3 days ago
Data Analyst (Dealing / Trading Analytics)
HybridJoin a leading trading platform as a Data Analyst, where you'll collaborate with the Dealing team to enhance trading and operational decision-making through data-driven insights. This role requires strong SQL and Python skills, as well as experience in financial markets. You'll be responsible for building analytics capabilities, translating business needs into data solutions, and ensuring data quality. Benefit from competitive pay, generous time off, and a company culture that values work-life balance and community involvement.
Posted 1 week ago
Technical Business Analyst - Data & Analytics
HybridThe Technical Business Analyst will collaborate with Finance, Accounting, Trade Processing, Data, and Technology teams to define requirements and deliver data-driven solutions. This role suits individuals skilled in translating complex business needs into clear specifications and improving reporting and operational visibility. Candidates will engage in high-impact analytics initiatives using tools like SQL, Excel, and Tableau. The role follows a hybrid work model with alternating weeks onsite and remote, requiring periodic presence in Dallas, TX, or Raleigh, NC offices.
Posted 3 weeks ago
Data Analyst / Product Analyst
On-siteInstaTalent Recruit LLP is seeking a detail-oriented and analytically-driven Data Analyst / Product Analyst to support data-driven decision-making across product, growth, and operations. The ideal candidate should possess expertise in SQL, Python, and data visualization tools such as Power BI, Tableau, and Looker ML, as well as experience in statistical analysis and experimentation. Strong familiarity with e-commerce or marketplace dynamics is essential. This is a full-time position based in Mumbai with evening shifts aligning with PST time zone.
Posted 1 week ago
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Data Analytics Salary Data in June 2026
This section summarizes salary information across data analytics postings, including roles that may involve reporting, SQL, dashboards, business intelligence, and analytics support. Use it alongside the 17,695+ active postings to compare compensation patterns across current data analytics jobs.
Average Salary
$80k
$110k
$139k
25th
50th
75th
Based on 17,695 roles currently tracked by LiftmyCV. Last updated on Jun 7, 2026
Salary Distribution
Based on 17,695 roles currently tracked by LiftmyCV. Last updated on Jun 7, 2026
| Experience Level | 25th Percentile | Median (50th) | 75th Percentile | Sample Size |
|---|---|---|---|---|
| Overall | $80,000 | $109,610 | $139,375 | 7,633 |
| Entry-Level | $62,010 | $91,250 | $111,317.75 | 24 |
| Mid-Level | $74,937.5 | $95,000 | $120,480 | 46 |
| Senior-Level | $109,750 | $132,000 | $160,000 | 44 |
"For data analytics jobs in 2026, I’m seeing employers separate reporting-heavy roles from analytics roles that influence product, operations, finance, and growth decisions. SQL and dashboarding still matter, but resumes read better when they show how analysis changed a forecast, reduced manual reporting, clarified customer behavior, or improved a business workflow. The market tends to reward analysts who can explain messy data clearly, not just list tools."
Marina's Market Take
Senior HR Leader & Lead Tech Recruiter
How to Land a Data Analytics Job in 2026
Data analytics jobs usually reward candidates who can show a clear lane, not just a general interest in dashboards or data. In 2026, your application should quickly signal whether you fit business analytics, product analytics, marketing analytics, operations analytics, finance analytics, or BI reporting work. A hiring manager reviewing a data analyst, BI analyst, or analytics consultant profile wants to see the kinds of decisions your analysis supported, the datasets you worked with, and the tools you used to get from raw data to a defensible answer.
For business and operations analytics roles, emphasize SQL, Excel or Sheets, dashboard ownership, recurring reporting, and examples of improving a process, forecast, workflow, or service metric. For product analytics roles, lead with event data, funnels, retention, experimentation, cohort analysis, and comfort working with product managers or engineers. Marketing analytics candidates should point to campaign measurement, attribution, lifecycle reporting, paid media analysis, CRM data, and clear explanations of channel performance. BI-focused candidates should make reporting architecture, data visualization, stakeholder intake, and dashboard maintenance visible.
- Position your title around the role lane. Use terms like data analyst, BI analyst, product analyst, marketing analyst, or operations analyst when they match your actual work.
- Show the tools in context. SQL, Tableau, Power BI, Looker, Python, R, dbt, Snowflake, BigQuery, and Excel matter more when tied to projects, dashboards, models, or recurring decisions.
- Prioritize roles by data environment. A product analytics opening, a finance reporting role, and a customer operations analyst job may all sit under data analytics, but each needs different evidence.
- Make business outcomes readable. Describe what changed after your analysis, such as a cleaner forecast, faster reporting cycle, clearer funnel diagnosis, or better segment definition.
LiftmyCV helps you find data analytics jobs that match your skills, experience, and preferred work style, then auto-apply to relevant roles faster.
Required Skills
Resume Tips
For data analytics jobs, your resume should show how you turn raw data into decisions. Prioritize SQL, Excel, Python or R, Tableau, Power BI, Looker, dbt, BigQuery, Snowflake, and analytics work tied to reporting, dashboards, forecasting, cohort analysis, funnel analysis, or data quality. If you have certifications, keep them relevant: Google Data Analytics, Microsoft Power BI, Tableau, AWS, Snowflake, or Databricks credentials belong near your skills or education section.
Cut vague task lists, old coursework that doesn’t use data, and tool names you can’t discuss in an interview. A data analyst resume reads better when each bullet includes the business question, dataset or tool, method, and result. Use numbers where you have them, but don’t force metrics you can’t support.
- Weak: Created reports and dashboards for the business team.
- Strong: Built SQL and Power BI dashboards tracking weekly customer retention, giving sales and operations teams a clearer view of churn patterns by segment.
Entry-level candidates can use capstone projects, internships, Excel models, or public datasets, but the write-up should still explain the analysis, not just name the chart. For senior analytics roles, emphasize stakeholder work, metric definitions, experimentation, data governance, and decisions influenced by your analysis.
LiftmyCV helps you create an ATS-friendly data analytics resume tailored to each job, so your skills and experience better match what employers are looking for.
How to Prepare for Interviews
Interview preparation for data analytics jobs
Data analytics interviews usually test how you move from messy data to a defensible recommendation. Prepare examples that show SQL querying, dashboard decisions, metric definition, and how you explained findings to product, finance, operations, marketing, or leadership audiences. A useful 2026 prep set should include two or three projects where you can discuss the dataset, the business question, the metric you chose, and what changed after the analysis.
Expect more than one format. You may get a SQL screen with joins, window functions, or aggregation logic; a take-home case asking you to diagnose a drop in conversion; or a live discussion about why a dashboard metric is misleading. For analytics roles tied to growth or product, practice funnel and cohort questions. For operations analytics, prepare examples around forecasting, capacity, quality, or cost drivers. For business intelligence roles, be ready to walk through a dashboard and defend chart choices, filters, and data freshness assumptions.