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Open nowFirst seen 23 hours ago

Senior Data Analyst

Workaholic36012 open roles

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Your applicationOpen nowSenior Data AnalystWorkaholic360

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workaholic360's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 23 hours ago

The posting

Senior Data Analyst

Job Brief:

We are looking for a seasoned Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong background in data analysis, statistical modeling, and data visualization, with a proven track record of delivering actionable insights and recommendations to stakeholders.

Responsibilities:

  • Lead the analysis of complex datasets to extract actionable insights and trends.
  • Design and implement statistical models and algorithms to solve business problems.
  • Develop and maintain data pipelines for data collection, cleaning, and preprocessing.
  • Collaborate with cross-functional teams to define data requirements and metrics for measuring performance.
  • Perform exploratory data analysis to identify patterns, anomalies, and opportunities.
  • Create and maintain interactive dashboards and reports to visualize key metrics and trends.
  • Conduct A/B tests and experiments to evaluate the impact of business initiatives.
  • Communicate findings and recommendations to stakeholders through written reports and presentations.
  • Mentor junior analysts and guide data analysis techniques and best practices.

Requirements:

  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related field. Master's degree preferred.
  • 5+ years of experience in data analysis or related fields.
  • Proficiency in SQL for data extraction and manipulation from relational databases.
  • Strong programming skills in Python or R for data analysis and statistical modeling.
  • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/seaborn.
  • Solid understanding of statistical concepts and techniques, such as hypothesis testing, regression analysis, and clustering.
  • Familiarity with machine learning algorithms and techniques is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications:

  • Experience with big data technologies such as Hadoop, Spark, or Hive.
  • Knowledge of data mining techniques and tools for exploratory analysis.
  • Experience working in agile environments and using version control systems such as Git.
  • Certification in data analysis or related fields from recognized institutions.
  • Contributions to open-source projects or participation in the data analysis community.
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