Senior Data Analyst
Job ID : 35209
Job Title : Senior Data Analyst
Location : New York Mills, MN
Comapny Name : Apollose
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $25000 - $35000 per year
Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 10-30-2023
Required Skills : Data Analysis, Exploration, Statistical Analysis.
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
Responsiblties:
- Apply industry knowledge to come up with analytical approaches to analyze data and make project and studio improvements based on statistical methods.
- Extract complex data sets to understand game metrics in order to inform hypotheses, and create analytical experiments with clear and measurable success goals.
- Create reports summarizing business intelligence data for review by executives and managers; collaborate with senior managers and decision makers to identify and solve a variety of problems to clarify management objectives.
- Lead complex analytics projects applying mathematical approaches such as Multivariable Regression, Clustering, Time Series Forecast, etc.
- Identify and propose improvements on analytics pipeline and operational process.
- Work cross functionally with other teams to provide business insight for decision making.
Qualification:
- Excellent quantitative and analytical skills; the ability to derive conclusions from data and clearly communicate findings is critical.
- Highly proficient in SQL, must be able to write queries to extract raw data and also load data into Tableau for visualization.
- Skillful in forecasting and manipulating data in Excel and/or Google Sheets.
- Master degree in mathematics, computer science, business or related fields strongly preferred.
Key Skills:
- Data Analysis and Exploration.
- Statistical Analysis.
- Programming.
- Database Management.
- Creating Dashboards and Reports.
- Data Visualization. .
- Machine Learning.
Company Details :
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