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Data Analyst

  • Location: Irving, 75063
  • Salary: $49.22 - $54.22 / hour
  • Job Type:Contract

Posted 24 days ago

Position: Data Analyst
Location: Irving, TX
Term: 12 months

Day-to-Day Responsibilities:
  • Performing data cleaning, data modeling, data crunching and in-depth data analysis using SQL
  • Develop visuals, interactive reports using Power BI for effective business communication and understanding.
  • Analyze mobile app data to understand user engagement and retention.
  • Knowledge of Mix panel will be helpful.
  • Utilizing Excel advance techniques like Pivot Table, V-Lookup for analyzing data.
  • Supporting product teams through both ad-hoc requests and planned projects.
  • Analyzing customer’s data for new opportunities.
  • Providing customize reporting and recommendations in support to on-going business decisions.
  • Conducting quantitative analysis including but not limited to ROI, identification and assessment of opportunities and risk, forecasting & offer performance.
  • Performing A/B testing and test vs control analysis, market basket analysis to assist in right business decisions.
  • Extracting data from various sources (Oracle, Databricks, MongoDB) using DB queries, Designing, and implementing dashboards based on transformed data.

Is this a good fit? (Requirements):
  • Strong in SQL, Power BI, Data Analysis and Statistical concepts.
  • Strong Analytics Background with Mobile Applications using Mix panel or other tools.
  • Exposure to Python or R.
  • Strong in Excel (pivots, VLOOKUP’s, basic formulae), Power Point (charts, graphs).
  • Analytics concepts: Test and Control methodology (Sales data analysis, Loyalty Program Analytics, Customer segmentation, Descriptive analysis, Cohort Analysis, Offers/Promotions data trend analysis (coupons, bonus offers, rewards, member offers).
  • Statistical Concepts: (Probability distributions, Confidence Intervals, Statistical Inference, Mean, Mode, Median, Hypothesis Tests).
  • Familiarity with statistical programming languages and packages (R, Python).

Even better if you have:
  • Knowledge of Machine Learning.