Senior Manager Data Analytics
Senior Manager Data Analytics
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Title: Senior Data Analytics Manager
Duration: FTE
Location: Onsite in White Plains NY must be local
Mode of Interview: Video
NOTE:
Submit someone senior and who has recent healthcare experience Healthcare exp is a must have
Reporting To: Chief Financial Officer
JOB DESCRIPTION:
Senior Data Analytics Manager The role of the Senior Data Analytics Manager is to work closely with leaders across the company to support and implement high quality datadriven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures using advanced data modeling predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes.
Qualifications:
1. Educational: Minimum of a BSc/BA in Computer Science Statistics Data Management or a related field.
2. Travel: Travel may be required for business purposes. If so the employee must have a valid drivers license issued by the state in which they work and a satisfactory driving record.
3. Work Experience:
a. At least 10 15 years of experience in a position monitoring managing manipulating and drawing insights from data.
b. A minimum of two years within the healthcare industry.
c. Experience and proficiency with the following tools/programs:
1. Programming skills with querying languages SQL Python R SAS etc.
2. Big data tools: Teradata Aster Hadoop etc.
3. Testing tools such as Adobe Test & Target.
4. Data visualization tools: Tableau Power BI Qlik Raw chart.js etc.
5. ETL tools: SSIS Blendo or Stitch.
6. Adobe Analytics and other analytics tools.
7. Microsoft Office Suite: Word Excel Outlook Visio PowerPoint
8. Working knowledge of data mining principles: predictive analytics mapping collecting data from multiple data systems on premises and cloudbased data sources.
9. Strong experience with data analysis techniques: Regression analysis Monte Carlo simulation Factor analysis and Time series analysis.
d. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development designing tests/experiments analyzing data drawing conclusions and developing actionable recommendations for business units.
e. Ability to translate business problems into analytical frameworks and models.
f. Experience and knowledge of statistical modeling techniques: GLM multiple regression logistic regression loglinear regression variable selection etc.
g. Experience writing advanced SAS code statements models and macros.
h. Excellent analytical communication and collaboration skills
i. Ability to work well under pressure.
Job Responsibilities:
1. Lead crossfunctional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build develop and maintain data models reporting systems data automation systems dashboards and performance metrics support that support key business decisions.
3. Design and build technical processes to address business issues.
4. Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
5. Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
6. Manage and optimize processes for data intake validation mining and engineering as well as modeling visualization and communication deliverables.
7. Examine interpret and report results of analytical initiatives to stakeholders in leadership technology sales marketing and product teams.
8. Develop and implement quality controls and departmental standards to ensure quality standards organizational expectations and regulatory requirements.
9. Partner across the organization to share data and analytics insights to drive compliance control and remediation efforts.
10. Anticipate future demands of initiatives related to people technology budget and business within your department and design/implement solutions to meet these needs.
11. Collaborating with the business technology & pricing strategy experts to ensure the models developed accurately represent the business environment and that model results are actionable.
12. Support the design of the future state of Pricing tools data and processes.
13. Create presentations that describe model results and recommendations to senior executives and other key stakeholders.
14. Sustain a structured method of gathering business feedback on data science output in order to drive continuous improvement
15. Ensure all HIPAA regulations are adhered.
16. Follows all Agency policies and procedures.
17. Performs other duties as assigned.
ADA Requirements: Candidates will have the physical ability to perform job related duties which may require lifting a minimum of 10 pounds bending stooping stretching pulling and pushing.
Employment Type
Full Time
