Senior Data Analyst Jobs

Find remote senior data analyst positions. Browse through our curated list of opportunities and take the next step in your career.

Data Analyst

Senior

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🔥 Senior Data Analyst

Posted about 11 hours ago

💸 110000.0 - 120000.0 USD per year

🔍 Ecommerce

🏢 Company: Pirate Ship👥 51-100 Shipping E-Commerce Software

🔧 Requirements

5+ years of experience in reporting and analytics.
Experience with data and BI tools like, Tableau, and query languages like SQL and Python.

💡 Responsibilities

Create and maintain reports and models.
Create analysis necessary for decision making related to pricing, product, and client acquisition.
Monitor shipping industry developments and trends, determining the key implications for Pirate Ship.
Participate in the decision making process by providing analysis and recommendations.
Support analytic projects across Pirate Ship departments.

Posted about 11 hours ago

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🔥 Senior Data Analyst, Marketing

Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 160000.0 - 210000.0 USD per year

🔍 Marketing

🏢 Company: Tremendous

🔧 Requirements

Extensive experience with B2B marketing analytics, including paid acquisition and attribution, and you are familiar with related tools.
Write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.
Proficient with at least one visualization & business intelligence platform (e.g., Tableau, Looker, Mode).
Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.
You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.
You employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.
You use data to achieve ambitious goals and influence company-level outcomes. Experience as a technical lead or manager is a plus.

💡 Responsibilities

Apply various analytics methods to gain insights into all aspects of marketing, including multi-touch attribution modeling, predictive lead scoring, paid media ROI analytics (MMM and iROAS) and full funnel pipeline reporting.
Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.
Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, providing mentorship, and fostering new expertise.
Join a growing team of analysts and actively contribute to team collaboration and culture.

SQL Business Intelligence Data Analysis Tableau Communication Skills Analytical Skills Data visualization Marketing CRM Data modeling

Posted about 11 hours ago

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🔥 Senior Data Analyst

Posted about 11 hours ago

📍 United States, Canada, Latin America

🧭 Full-Time

💸 160000.0 - 210000.0 USD per year

🔍 Software Development

🏢 Company: Tremendous

🔧 Requirements

Sophisticated SQL skills
Proficiency in a visualization platform (e.g., Tableau, Looker)
Strong verbal communication skills
Experience as a technical lead or manager is a plus
Familiarity with tools like Amplitude, Zendesk, or Segment

💡 Responsibilities

Apply analytics methods for business insights
Consolidate data into narratives
Collaborate with cross-functional teams
Advocate for data-informed decisions
Identify and implement improvements within the Data team

Python SQL Data Analysis Tableau Data visualization Data modeling

Posted about 11 hours ago

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🔥 Sr. Data Analyst

Posted about 14 hours ago

💸 110000.0 - 125000.0 USD per year

🔍 Data Science

🏢 Company: AG1

🔧 Requirements

Minimum of 5 years of experience in growth marketing analytics, data science, preferably in direct-to-consumer and e-commerce companies.
Experience with marketing analytics, attribution modeling, customer segmentation, and predictive modeling for growth and retention.
Expertise in SQL and proficiency in either Python (or R) for advanced data analysis and automation. Experience with dbt, Looker, or other modern analytics tools is a plus.
Familiarity with B2C acquisition and subscription marketing concepts and metrics, including customer journeys, conversion funnels and critical reporting (CAC, payback, retention rate, etc.).
Hands-on experience working with structured and unstructured data in cloud-based environments, including BigQuery, Snowflake, RedShift, etc.
Comfortable navigating large datasets, acquiring and cleansing data from multiple sources.
Demonstrates intellectual curiosity, a self-motivated approach to problem-solving, and a passion for continuous learning and improvement.
Advanced analytical skills with the ability to be a self starter and work independently.
Advanced data visualization skills and hands-on experience with Tableau
Familiarity with marketing, CRM, social and ad platforms, such as Salesforce, NetSuite CRM, Google Ads, Facebook, YouTube, Instagram, TikTok and others. Experience with partnership and affiliate marketing is a plus.
Exceptional communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly insights.
Ability to collaborate with partners to document key business needs into a clearly defined requirements document and project plan.
Proven skills in distilling complex topics into easy to understand data visualizations. Advanced Tableau data visualization skills preferred.

💡 Responsibilities

Develop optimized SQL queries to aggregate and explore data from multiple datasets, identify opportunities and limitations within our data sets and deliver reliable and high quality analysis to drive strategic insights.
Translate complex data insights into compelling narratives that drive action across marketing and leadership teams.
Enable teams with self-service analytics by maintaining curated data sources and developing automated, scalable dashboards in Tableau, by applying intuitive data visualization and dashboard design best practices.
Own key projects and respond to ad-hoc data requests from internal and external stakeholders. Define, calculate, and validate key performance metrics (KPIs), identifying automation opportunities and developing self-service analytics solutions.
Communicate with stakeholders on various projects to gather requirements, collect feedback and present deliverables to achieve expected outcomes.
Brainstorm creative solutions to exploratory projects built around ambiguity, including running analysis to identify problems, understand root cause of trends, provide actionable insights and recommend solutions.
Work collaboratively and cross functionally with other members of the data team to support testing/experimentation, data modeling, data visualization, data science/machine learning, etc.
Collaborate with data scientists to leverage A/B testing and incrementality analysis to measure marketing effectiveness and optimize campaign performance.
Work closely with data engineering teams to define and refine data pipelines, ensuring scalable and reliable marketing data infrastructure.

Posted about 14 hours ago

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🔥 Senior Data Analyst

Posted 1 day ago

🧭 Full-Time

🔍 Travel Services

🏢 Company: Engine

🔧 Requirements

Bachelor’s degree in Data, Economics, Statistics, or related field
4+ years as a Data or Business Analyst
Experience building complex SQL queries
Strong fundamentals in statistics and econometrics
Excellent communication skills
Experience with Looker, Snowflake, Amplitude is a plus

💡 Responsibilities

Partner with stakeholders to define metrics and reporting
Lead analytics projects for product and business performance
Design and build statistical analyses
Participate in product and growth experiments
Build data pipelines for metrics tracking
Manage business intelligence reporting dashboards

Posted 1 day ago

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🔥 Senior Data Analyst

Posted 1 day ago

🔧 Requirements

Bachelors or Masters degree in Data Science, Statistics, Mathematics or Computer Science
Minimum 5 years experience as a Data Analyst, with a focus on statistical analysis and a track record of delivering actionable insights
Application of statistical methods in your analytical products
Proficiency in SQL, and Python
Strong communication skills enabling you to communicate complex context into concise, actionable steps

💡 Responsibilities

Collaborate with stakeholders to understand our strategy and the goals we are aiming to achieve
Profiling and validating, and analysing large, complex datasets to extract meaningful patterns, trends, and insights
Apply advanced statistical techniques (e.g. regression, hypothesis testing, time series analysis) to interpret data and guide business decisions
Development and ownership of metric models, dashboards, reports, adopting our Data Standards, such as unit testing, deploying to Production, and version controlling
Prepare and present clear, concise reports and dashboards, communicating findings to both technical and non-technical stakeholders
Identify and develop data driven strategies to improve our business performance and optimise processes
Mentoring and provide guidance to other Analysts
Stay current with emerging trends in data analysis, statistical techniques, and industry best practices

Posted 1 day ago

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🔥 Senior Data Analyst

Posted 2 days ago

💸 115000.0 - 175000.0 USD per year

🔧 Requirements

5+ years of experience in data analysis or a related field.
Proficiency in SQL and experience with data visualization tools.
Strong analytical skills with experience in statistical analysis and predictive modeling.
Experience working with large datasets and data warehousing solutions.
Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.

💡 Responsibilities

Analyze large, complex datasets to identify trends, patterns, and insights that inform business strategies.
Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) across the organization.
Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
Design, refine, and implement data collection processes to ensure data accuracy and integrity.
Mentor team members to promote best practices in data analysis and visualization.

Posted 2 days ago

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🔥 Data Analyst - Product Development

Posted 3 days ago

💸 113100.0 - 229300.0 USD per year

🔍 Software Development

🏢 Company: Two Six Technologies👥 501-1000💰 $2,200,000 about 1 year agoInformation Technology Cyber Security Network Security

🔧 Requirements

5+ years of experience at the intersection of targeting, operations, and/or intelligence analysis and data/analytic tools and techniques.
Comfort working programmatically with data to surface insights
Strong verbal and written communication skills
Bachelor's Degree or equivalent work experience

💡 Responsibilities

Using data analytics platforms like Kibana, web applications like Jupyter Notebook, or coding to access data sources from multiple products and data sources across the company.
Understanding generalized opportunities observed in the Product Sales and Business Development pipelines to promote integrations between data sets across products, and translating these into actionable hypotheses we can test.
Bringing perspective of multiple years of work on national security missions to validate opportunities in data integration
Working with colleagues in engineering, data science, design, and product teams to validate opportunities and determine next steps for pursuing them.
Keeping multiple stakeholders apprised of progress and decisions
Keeping focus on actionable opportunities in an ocean of possibilities, and willingly setting aside work that can’t quickly gain traction.

Posted 3 days ago

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🔥 Senior Data Analyst

Posted 4 days ago

📍 United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, Ireland

🔍 SaaS

🏢 Company: Lokalise👥 101-250💰 $50,000,000 Series B about 3 years agoInformation Services Developer APIs SaaS Information Technology Collaboration Translation Service Software Cloud Infrastructure

🔧 Requirements

3+ years of experience in data analytics in a SaaS B2B environment in at least one (more is a plus) of the following business areas: Product, Marketing and/or Sales.
Proficiency in analytics and data tools and technologies like SQL, Python, DBT, and knowledge of statistical analysis, predictive analytics and experimentation (e.g. A/B testing)
Experience with data visualisation tools (e.g. Metabase, Looker or Lightdash)
Experience working with a version control environment (e.g. git).

💡 Responsibilities

Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives.
Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business.
Maintain data integrity and quality through the use of tools such as DBT.
Partner with marketing, sales, and product growth teams to provide customer insights and identify opportunities for optimisation in customer acquisition, retention and engagement flows.
Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments.

Python SQL Git Snowflake Data visualization Data modeling Data analytics A/B testing

Posted 4 days ago

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🔥 Contract Billing Data Analyst

Posted 6 days ago

📍 AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, WA

🧭 Contract

💸 34.0 - 40.0 USD per hour

🔍 Software Development

🏢 Company: Lob👥 101-250💰 $50,000,000 Series C almost 4 years agoDeveloper APIs Shipping SaaS Marketing Health Care Software Courier Service

🔧 Requirements

5+ years of experience in data analysis roles
Advanced SQL query writing capabilities
Expert proficiency in Google Sheets and Microsoft Excel
Experience with data visualization tools and platforms
Experience with LookML and Looker
Strong analytical and problem-solving abilities
Excellence in written and verbal communication
Ability to translate technical concepts for non-technical audiences
Demonstrated experience in multi-source data integration

💡 Responsibilities

Analyze billing data to ensure accuracy and completeness of financial records
Generate timely reports and visualizations using SQL, Looker, and other analytics tools
Develop and maintain self-service reporting solutions to improve stakeholder access to data
Investigate and resolve billing discrepancies through data analysis
Collaborate with Engineering, Finance, Sales, Marketing, and Customer Solutions teams
Transform complex data insights into actionable recommendations for stakeholders
Support product decisions through data-driven insights and metric tracking
Write and optimize SQL queries for data extraction and analysis
Maintain and update billing analysis systems and databases
Connect multiple data sources to create comprehensive analytical solutions

SQL Data Analysis ETL Microsoft Excel Data visualization Data modeling

Posted 6 days ago

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