Apply

Senior Data Analyst

Posted 2024-10-23

View full description

πŸ’Ž Seniority level: Senior, 3-5 Years

πŸ“ Location: United States

πŸ’Έ Salary: 90000 - 120000 USD per year

πŸ” Industry: Data Analytics

🏒 Company: NuView

⏳ Experience: 3-5 Years

πŸͺ„ Skills: SQLData AnalysisETLMachine LearningTableauData analysisData science

Requirements:
  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science, or a related field.
  • 3-5 years of relevant job experience.
  • SQL Required.
  • Experience with R or Python is a plus.
  • Familiarity with Tableau, Power BI, or Looker is desired.
  • Self-starter who can work autonomously and collaboratively.
  • Ability to lead and mentor junior team members.
  • Intellectually curious about new data tools and strategies.
  • Familiarity with modern data stack including ETL tools and Data Warehouses.
Responsibilities:
  • Candidate will complete data analytics and data science projects for clients.
  • Candidate will research and help the company learn about new technologies and skillsets.
  • Candidate will lead client projects from start to finish, including scoping, onboarding, and delivery.
  • Candidate will train and develop new team members in the engagement process and data analytics skills.
Apply

Related Jobs

Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 100000 - 130000 USD per year

πŸ” Data analytics, subscription economy

🏒 Company: Antenna

  • 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.

  • 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.

SQLBusiness IntelligenceData AnalysisETLQAData analysisCommunication SkillsAttention to detailDocumentation

Posted 2024-11-21
Apply
Apply

πŸ“ Kenya, Mexico, Philippines, India, United States

πŸ” Financial services, Fintech

  • Deep understanding of both the business and data infrastructure.
  • Ability to work with both technical and non-technical stakeholders.
  • Adept at taking business needs and translating them into data requirements.
  • Experience building and refining ad hoc reports.
  • Experience working with Data and Engineering partners.

  • Discover new and better ways to deliver essential business information and insights.
  • Define, organize, and report internal data to drive strategic and operational decision-making.
  • Work comfortably with technical and non-technical stakeholders.
  • Translate business needs into data requirements.
  • Build and refine ad hoc reports.
  • Collaborate with Data and Engineering partners to design sustainable reporting infrastructure.

SQLBusiness AnalysisData AnalysisTableauStrategyData analysisCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationDocumentation

Posted 2024-11-14
Apply
Apply

πŸ“ US

🧭 Full-Time

πŸ’Έ 108000 - 156000 USD per year

πŸ” Fintech / financial service

🏒 Company: Zip Co Limited

  • 5+ years of professional, full-time data experience.
  • Experience with SQL and a BI tool, preferably Tableau.
  • Previous experience building out credit risk metrics in the fintech / financial service industry.
  • Proactive problem-solving and analytical capabilities.
  • Ability to collaborate and communicate effectively with various stakeholders.

  • Be responsible for a wide range of data analytics solutions across key departments with a primary focus on Credit Risk and Finance.
  • Partner closely with business leaders to create and enable analytics around how Zip attracts, engages, and retains customers.
  • Proactively identify optimization areas and data-based recommendations for Zip’s business across all business functions.
  • Build and maintain data analytics dashboards and other tools to answer critical business questions.
  • Collaborate with data engineers to create and optimize efficient data models.
  • Communicate insights with senior stakeholders and team members.

SQLData AnalysisAmplitude AnalyticsTableauData analysisAnalytical Skills

Posted 2024-11-12
Apply
Apply

πŸ“ US, Germany, UK

🧭 Full-Time

πŸ’Έ 115000 - 135000 USD per year

πŸ” Music / Digital Media

🏒 Company: SoundCloud

  • 5+ years of experience in product analytics, business intelligence, or data science.
  • Deep understanding of ad tech, including programmatic advertising and related platforms.
  • Experience with publisher-side ad platforms like Google Ads Manager.
  • Familiarity with privacy regulations like GDPR and CCPA.
  • Expertise in SQL, large datasets, and cloud platforms (GCP or AWS).
  • Proficiency in data visualization tools (Looker, Tableau, Power BI).
  • Experience in designing and analyzing A/B tests.
  • Strong foundation in statistical methods relevant to analytics.
  • Familiarity with analytics engineering tools like Apache Airflow.
  • Excellent communication skills and the ability to influence.

  • Define, implement, and monitor key performance indicators (KPIs) for advertising business.
  • Conduct exploratory data analysis to identify user needs and opportunities.
  • Design, execute, and analyze A/B tests on ad products and policies.
  • Communicate insights and recommendations to various teams.
  • Collaborate for data quality and consistency across sources.
  • Develop and maintain dashboards and documentation.

AWSLeadershipSQLApache AirflowBusiness IntelligenceData AnalysisGCPTableauProduct AnalyticsAirflowData analysisData scienceCommunication Skills

Posted 2024-11-07
Apply
Apply

πŸ“ United States, UK, India

πŸ” B2B

🏒 Company: Demandbase

  • Expert knowledge of SQL, ideally using BigQuery or similar data platform.
  • Strong in extensive data analysis, both manual and automated.
  • Excellent problem-solving and analytical skills with attention to detail.
  • Outstanding written reporting and documentation skills.
  • Proactive communication and interpersonal skills.

  • Conduct extensive data analysis and identify key insights using tools like Python, SQL, and Excel.
  • Visualize and propose innovative data models to complex problems.
  • Provide excellent data stewardship and deliver high-quality results within timelines.
  • Demonstrate accountability and complete ownership of projects from creation to completion.
  • Mentor junior analysts and facilitate communication to ensure work is on track.

LeadershipSQLAgileData AnalysisSCRUMJiraData analysisCommunication SkillsAnalytical Skills

Posted 2024-11-07
Apply
Apply

πŸ“ United States, London, England, United Kingdom

πŸ” Esports, gaming tournaments, leagues, events

🏒 Company: ESL FACEIT Group

  • Experience building data solutions, including dashboards, queries, and data models.
  • Proficiency in SQL and data retrieval concepts with query optimization knowledge.
  • Experience in deploying BI solutions with understanding of dashboard performance, data governance, ETL processing, and security.
  • Familiarity with data modeling concepts and BI tools like Looker, Tableau, and DBT.
  • Practice in business statistics and familiarity with Bayesian and predictive analytics.

  • Shape technical decisions and elevate team talent in analytics.
  • Lead the development of dashboards, data models, and analyses that address high-impact business problems.
  • Connect data with business objectives, generate hypotheses, and test them for insights.
  • Serve as a technical analytics expert within the team.
  • Collaborate with Analytics Engineers for accurate data insights.

SQLETLFigmaTableau

Posted 2024-11-07
Apply
Apply

πŸ“ US

🧭 Full-Time

πŸ’Έ 95000 - 125000 USD per year

πŸ” Energy solutions and consultancy

🏒 Company: Energy Solutions - USA

  • Bachelor’s degree in business, Computer Science, Mathematics, Statistics, Engineering, or related field, or equivalent work experience.
  • 6-8 years of job-related experience in data analytics and modeling.
  • Expertise in developing analytical dashboards using BI tools, preferably Tableau.
  • Strong proficiency in SQL, with at least 3 years of experience.
  • Advanced knowledge of building analytical models using programming languages, preferably Python with at least 3 years of experience.
  • Leadership experience and comfortable leading a small team.
  • Excellent communication and presentation skills.
  • Advanced knowledge of basic data warehousing principles and ETL design.
  • Advanced knowledge and experience with MS Office Suite.
  • Ability to work independently and collaborate with non-technical managers.
  • Enthusiastic about data analytics and learning new techniques.

  • Develop, maintain, and own analytical models and dashboards for internal and external clients.
  • Prepare reports for leadership that communicate trends, patterns, and forecasts to inform business decisions.
  • Translate quantitative data into visual reports for non-technical audiences.
  • Ensure the quality and accuracy of data analyses and establish QA systems.
  • Develop and track key performance metrics.
  • Assist the data engineering team with troubleshooting.
  • Coordinate cross-functionally to support data analytics and streamline data pipelines.
  • Mentor and provide guidance to other team members.
  • Collaborate in setting and driving goals for the data analysis team.
  • Identify improvements in analytics processes and tools.
  • Lead the development of best practices around data analytics.

LeadershipPythonSQLData AnalysisETLQATableauBusiness OperationsData analysisData engineering

Posted 2024-10-26
Apply
Apply

πŸ“ Phoenix, AZ

🧭 Full-Time

πŸ’Έ 125000 - 145000 USD per year

πŸ” SaaS

  • 3-5 years of analytics experience.
  • B2B or SaaS experience preferred.
  • Experience supporting Product or Finance functions.
  • Experience building or maintaining analytics infrastructure as the only analyst or on a small team.
  • Experience configuring data movement through pipelining tools such as Fivetran or Hightouch.
  • Fluency in data visualization, modeling, and dashboarding.
  • Comfortable using SQL daily.
  • Ability to communicate complex topics simply for technical and non-technical audiences.
  • Experience in the causal modeling space is a plus.

  • Ensure accurate and reliable data by gathering, preprocessing, and validating data from various sources.
  • Utilize statistical tools to analyze data, uncover patterns, trends, and insights.
  • Create clear, concise, and visually appealing reports and dashboards for stakeholders.
  • Aid in data-driven decision-making processes.

SQLData AnalysisETLStrategyData analysisCollaboration

Posted 2024-10-25
Apply
Apply

πŸ“ United States of America

🧭 Full-Time

πŸ” FinTech

  • Master’s degree / Ph.D. in a STEM or analytically rigorous field, or a Bachelor’s degree with relevant/equivalent work experience.
  • Experience with data mining and visualization tools such as R, Python, Tableau, or Power BI, and querying languages (SQL, etc.).
  • Strong quantitative analytical abilities.
  • Track record of achieving results through creative problem solving and careful implementation.
  • Ability to travel ~10% of the time if needed.

  • Design, create, and update tools that identify threat vectors.
  • Analyze data patterns to prevent and mitigate fraud.
  • Partner with product and technology teams to implement solutions.
  • Develop machine learning models in partnership with more senior team members.

PythonSQLData MiningMachine LearningTableauData miningData science

Posted 2024-10-24
Apply
Apply

πŸ“ CET timezone

🧭 Full-Time

πŸ” Gaming

🏒 Company: DECA Games

  • 2-5 years of experience as a Data Analyst or Data Engineer.
  • Solid knowledge of SQL and related technologies.
  • Experience with visualization tools like Tableau or PowerBI.
  • Knowledge of third-party tools (Appsflyer, appfigures, ironsource, etc.) and KPIs.
  • Ability to show ownership and collaborate with stakeholders.
  • Analytical and proactive mindset, independent team player.
  • Experience in mobile apps or the gaming industry is a plus.

  • Has a full understanding of the front and backend of BI technologies.
  • Owns all reports and tables and ensures KPIs are accurate for all games.
  • Works closely with stakeholders to meet their data needs.
  • Rebuilds pipelines/ETLs/large queries to improve speed and reduce costs.
  • Delivers 3-4 larger projects within 12 months impacting major KPIs.
  • 'Quality and speed' must be prioritized in deliverables.
  • Oversees transition of several games.
  • Manages 1-2 Junior Data Analysts or interns.
  • Maintains documentation and team-related tools.

LeadershipSQLBusiness IntelligenceETLJavaJavascriptMicrosoft Power BIJavaScriptJiraTableauCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 2024-10-23
Apply