Senior Data Analyst

Posted 2 months agoViewed

View full description

💎 Seniority level: Senior, 4+ years

📍 Location: United States

💸 Salary: 100000 - 130000 USD per year

🔍 Industry: Data analytics, subscription economy

🏢 Company: Antenna👥 1-10 Internet Music Music Streaming

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: SQLBusiness IntelligenceData AnalysisETLQACommunication SkillsAttention to detailDocumentation

Requirements:

Expert in SQL, Excel, and business intelligence tools like Looker or Redash with 3+ years experience.
Strong problem-solving skills and attention to detail.
4+ years experience in data-driven products, with strategic thinking ability.
Passionate about using critical thinking and data analysis to solve customer challenges.
Skilled in organizing, analyzing, and vetting large datasets without losing accuracy.
Experience in navigating complex ETL systems and collaborating with technical teams.
Excellent written and verbal communication skills to translate nuanced requests.
Self-starter able to prioritize initiatives and meet deadlines in a fast-paced environment.
Bonus: Experience with process automation using Python or R for data manipulation.

Responsibilities:

Partner with our commercial team to understand how stakeholders use data for business decisions and create high-quality, frictionless data solutions.
Ensure timely product updates in alignment with business teams.
Guarantee reliable and scalable data fulfillment for solutions while optimizing speed and accuracy.
Analyze large datasets to identify data quality issues and collaborate with stakeholders and clients.
Develop QA efficiencies to ensure accurate data delivery.
Create documentation processes to enhance stakeholder understanding.
Support the launch of new data solutions with systems to ensure reliability and accessibility.
Lead, manage, or mentor Data Analysts in Data Operations activities.

Apply

Related Jobs

Apply

🔥 Senior Data Analyst

Posted about 9 hours ago

📍 Australia, West Coast USA

🔍 Education Technology

🏢 Company: Go1 Australia

🔧 Requirements

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or Computer Science.
Minimum 5 years experience as a Data Analyst focused on statistical analysis.
Strong application of statistical methods in analytical products.
Proficiency in SQL and Python.
Strong communication skills to convey complex ideas.
Experience in a B2B SaaS environment (nice to have).
Experience with Databricks (nice to have).
Experience in automated tests, version control, and using CICD and GitHub (nice to have).

💡 Responsibilities

Collaborate with stakeholders to understand strategy and goals.
Profile, validate, and analyze large datasets for insights.
Apply advanced statistical techniques to interpret data.
Develop and own metric models, dashboards, and reports.
Prepare and present reports to technical and non-technical stakeholders.
Identify and develop strategies to improve business performance.
Mentor and guide other Analysts.
Stay current with trends in data analysis and statistical techniques.

PythonSQLData AnalysisGitCI/CDData visualization

Posted about 9 hours ago

Apply

🔥 Senior Data Analyst

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 85000.0 - 100000.0 USD per year

🔍 Management consulting services

🏢 Company: Command Holdings👥 10-100💰 $500,000 Seed 7 months ago

🔧 Requirements

Bachelor's Degree.
Must have the ability to obtain and maintain a Secret Clearance.
5-10 years demonstrated experience in data analysis.
Proven experience as a Data Analyst and Data design.
Proficiency in data analysis tools and languages such as SQL, Python, or R.
Strong analytical and problem-solving skills.
Experience in data visualization and presentation.
Excellent communication and interpersonal skills.
Demonstrated proficiency in Microsoft Office applications.
Professional proficiency in English is required.

💡 Responsibilities

Collect, clean, and analyze large datasets to identify trends, patterns, and insights.
Review, compare, and analyze data from multiple sources.
Assist with designing logical and physical data models.
Assist with data governance policies.
Provide recommendations for process improvements based on data analysis.
Stay updated with emerging trends in data analysis tools.

PythonSQLData AnalysisErwinData visualizationData modeling

Posted 9 days ago

Apply

🔥 Senior Data Analyst, Go-to-Market

Posted 16 days ago

📍 United States, Hong Kong, Singapore, United Kingdom

🧭 Full-Time

💸 141700.0 - 198400.0 USD per year

🔍 AI legal tech for private markets

🏢 Company: Ontra👥 101-250💰 $200,000,000 Series B over 3 years agoLegal Tech Document Management Information Technology Legal Software

🔧 Requirements

5+ years in roles involving data manipulation, exploratory data analysis, and delivering insights through data visualizations.
Advanced fluency in SQL for constructing complex queries and high proficiency in BI tools, with interest in Sigma.
Intermediate scripting skills in Python or R for analysis.
Strong understanding of financial statements, budgeting, and forecasting.
Proficient in building data pipelines using DBT or similar tools, and experience in data modeling.
Skilled in tracking and analyzing operational KPIs and identifying process improvements.

💡 Responsibilities

Conduct detailed data analysis to drive decision-making processes and provide actionable insights.
Own data analytics in high-impact areas within teams, establish measurable success goals, and collaborate with stakeholders.
Drive analytical projects autonomously, ensuring deliverables meet expectations.
Proactively engage stakeholders to understand their needs and communicate insights.
Mentor other analysts and collaborate with data engineers and data scientists.
Explore new collaboration opportunities across teams and propose strategic initiatives.

PythonSQLData AnalysisETLData visualizationFinancial analysisData modeling

Posted 16 days ago

Apply

🔥 Senior Data Analyst

Posted 28 days ago

📍 United States

🧭 Full-Time

🔍 Health and wellness

🏢 Company: Found👥 51-100💰 $45,999,997 Series C 8 months agoFinancial Services Banking FinTech

🔧 Requirements

Bachelor's degree in math, business analytics, data science, or a related field.
3+ years of experience in financial analytics, operations analytics, or general data analytics.
Strong proficiency in SQL; bonus points for Python.
Excellent communication and presentation skills.
Ability to prioritize and manage multiple projects simultaneously.
Detail-oriented mindset with a commitment to data accuracy and quality.

💡 Responsibilities

Analyze data and provide insights to inform decision-making.
Focus on operations analytics to optimize user experience or dive into financial data.
Clean complex data sets and implement analytics projects.
Collaborate with cross-functional teams to prioritize high-impact projects.
Monitor trends in KPIs and provide insights for business strategy.

PythonSQL

Posted 28 days ago

Apply

🔥 Senior Data Analyst

Posted 2 months ago

📍 US

💸 92000.0 - 138000.0 USD per year

🔍 SaaS

🏢 Company: Sprout General Referrals

🔧 Requirements

8+ years of experience in data analytics.
3+ years of experience developing and validating SQL queries.
2+ years of experience in data visualization software (e.g., Tableau, Looker, PowerBI).
Experience collaborating closely with data engineering teams.
Partnering directly with stakeholders to define requirements and present findings.

💡 Responsibilities

Analyze business performance and develop metrics and dashboards.
Collaborate with cross-functional teams for data-driven insights.
Conduct exploratory data analysis to uncover actionable insights.
Ensure data quality and integrity through data gathering.
Provide peer review and mentorship within the team.

PythonSQLData AnalysisETLTableauStrategyData engineeringData visualizationData analytics

Posted 2 months ago

Apply

🔥 Senior Data Analyst - Marketing (Phoenix, AZ or Remote)

Posted 2 months ago

📍 Phoenix, AZ

💸 125000 - 145000 USD per year

🔍 B2B SaaS

🔧 Requirements

~5 years of experience in a marketing analytics role, preferably in B2B SaaS.
Experience in building or maintaining marketing analytics infrastructure.
Knowledge of customer acquisition metrics and analytics.
Familiarity with data aggregation, transformation, and attribution.
Proficiency in SQL, HubSpot, Google Analytics 4, and multiple digital ad platforms.
Experience with data integration tools like Hightouch and dbt.
Understanding of CRM systems and building reporting within them.

💡 Responsibilities

Supporting marketing & growth stakeholders in making data-centered decisions daily.
Transforming large data sets into reliable performance metrics.
Creating and updating marketing dashboards for usability and impact.
Monitoring data across digital marketing platforms and communicating trends.
Managing analytics projects from understanding requirements to visualization.
Providing guidance on testing methods and statistical analysis.
Maintaining data workflows and integrations to enhance simplicity and accuracy.

SQLBusiness IntelligenceData AnalysisGoogle AnalyticsProduct AnalyticsGoAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communication

Posted 2 months ago

Apply

🔥 Senior Data Analyst, Marketing

Posted 4 months ago

📍 United States

🧭 Full-Time

💸 $135,000 - $160,000 per year

🔍 Sports gaming

🏢 Company: Underdog Sports

🔧 Requirements

At least 5 years of experience working in marketing analytics.
Strong experience in one or more of the following areas: Promotions / retention analytics at a sportsbook, real-money gaming, or fantasy sports company; Creative analytics and optimization; User acquisition / growth analytics at a consumer-facing app-based company.
Prior experience with data visualization tools such as Tableau or Power BI.
Strong skills in SQL and impactful analysis presentation.
Highly focused on delivering results for internal stakeholders in a fast-paced, entrepreneurial environment.
Strong analytical and problem-solving skills.
Ability to collaborate with stakeholders across marketing, product, and business teams.

💡 Responsibilities

As a Senior Marketing Analyst, you'll be developing and establishing key reporting around the effectiveness and performance of our marketing initiatives.
Analyze customer acquisition, engagement, and retention, identifying trends and investigating root causes.
Create interactive dashboards, visualizations, and analysis applications to communicate marketing insights to stakeholders.
Work with cross-functional teams to identify data-driven solutions for marketing optimization and growth.

SQLData AnalysisMicrosoft Power BITableauAnalytical SkillsCollaboration

Posted 4 months ago

Apply

🔥 Senior Data Analyst

Posted 4 months ago

📍 United States

🧭 Full-Time

💸 $80,000 - $105,000 per year

🔍 E-commerce, retail, and entertainment

🏢 Company: Wpromote👥 501-1000💰 Private over 2 years agoAdvertising SEO Marketing SEM

🔧 Requirements

Excellent analytical and problem-solving skills with strong attention to detail.
Critical thinking: the ability to look at numbers, trends, and data and come to new conclusions based on the findings.
Excellent foundational math/statistical skills with the ability to juggle facts, figures, and number crunching.
Strong communication skills, with experience in creating and delivering presentations and executive summaries.
2+ years of hands-on data analysis experience within an agency or in-house environment.
Advanced programming skills (R or Python) for data cleaning, data modeling, building pipelines, API calls, etc.
Advanced experience in SQL (i.e.: window functions, stored procedures, and views, Triggers, Unions, CTEs, subqueries, debugging).
Intermediate to advanced competency in statistics, probability, and linear algebra.
Advanced Excel and/or Google Sheets skills.
Experience/familiarity with version control (i.e.: Git, Bitbucket, etc.).
An interest or passion for marketing analytics.
Bachelor’s degree in a quantitative field (Stats, Mathematics, CS, Information Technology, Economics, Engineering, etc.).

💡 Responsibilities

Interpreting, presenting, and communicating results by creating presentations and/or dashboards that communicate a succinct and compelling business story, driving decisions through research results.
Learning to transform, improve, and integrate data, depending on the business requirements.
Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative testing and solutions.
Using SQL and BigQuery to combine data sets across multiple sources.
Delivering the data in a useful and appealing way to technical and non-technical audiences using Looker.
Working across various departments to understand client needs.

PythonSQLData AnalysisData MiningGitCommunication Skills

Posted 4 months ago

Apply