Key Responsibilities
- Partner with stakeholders to answer analytical questions critical to the success of our teams & our customers.
- Design innovative analytic approaches to test hypotheses extract actionable insights by identifying patterns in structured & unstructured data & develop recommendations to drive business performance thru developing dashboards to enable clear visibility into business performance.
- Apply advanced analytics techniques (core statistical-modeling data visualization data mining) to extract actionable insights through analysis of large-scale high-dimensional data.
- Work with data engineers to ensure accurate & up-to-date data power each analysis.
Qualifications :
Education & Experience
Must have a Bachelors degree in Mathematics Statistics Operations Research Computer Science Business Intelligence/Analytics Engineering or equivalent & 3 years of work experience driving business decisions with data-driven analyses.
Of experience required must have 3 years of each of the following:
- deciphering & generating complex SQL queries using window functions CTEs & aggregate functions;
- generating business insights using Tableau or PowerBI;
- mining validating & structuring disparate datasets within the big data eco-system;
- applying statistical analyses experiment design regression & modeling to business problems; and
- translating data results in a non-technical format for written & oral presentations to business stakeholders
Work experience may be gained concurrently.
In interview setting must pass companys SQL data visualization & business acumen test given to all applicants for position.
100% telecommuting permitted
Additional Information :
Salary Range: $142346.97 - $178500.00
Apply online at or send resume to . Refer to Req ID: REF44110K
We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.
AbbVie is committed to operating with integrity driving innovation transforming lives serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race color religion national origin age sex (including pregnancy) physical or mental disability medical condition genetic information gender identity or expression sexual orientation marital status status as a protected veteran or any other legally protected group status.
AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more visit & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:
Work :
No
Employment Type :
Full-time
Key ResponsibilitiesPartner with stakeholders to answer analytical questions critical to the success of our teams & our customers. Design innovative analytic approaches to test hypotheses extract actionable insights by identifying patterns in structured & unstructured data & develop recommendations ...
Key Responsibilities
- Partner with stakeholders to answer analytical questions critical to the success of our teams & our customers.
- Design innovative analytic approaches to test hypotheses extract actionable insights by identifying patterns in structured & unstructured data & develop recommendations to drive business performance thru developing dashboards to enable clear visibility into business performance.
- Apply advanced analytics techniques (core statistical-modeling data visualization data mining) to extract actionable insights through analysis of large-scale high-dimensional data.
- Work with data engineers to ensure accurate & up-to-date data power each analysis.
Qualifications :
Education & Experience
Must have a Bachelors degree in Mathematics Statistics Operations Research Computer Science Business Intelligence/Analytics Engineering or equivalent & 3 years of work experience driving business decisions with data-driven analyses.
Of experience required must have 3 years of each of the following:
- deciphering & generating complex SQL queries using window functions CTEs & aggregate functions;
- generating business insights using Tableau or PowerBI;
- mining validating & structuring disparate datasets within the big data eco-system;
- applying statistical analyses experiment design regression & modeling to business problems; and
- translating data results in a non-technical format for written & oral presentations to business stakeholders
Work experience may be gained concurrently.
In interview setting must pass companys SQL data visualization & business acumen test given to all applicants for position.
100% telecommuting permitted
Additional Information :
Salary Range: $142346.97 - $178500.00
Apply online at or send resume to . Refer to Req ID: REF44110K
We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.
AbbVie is committed to operating with integrity driving innovation transforming lives serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race color religion national origin age sex (including pregnancy) physical or mental disability medical condition genetic information gender identity or expression sexual orientation marital status status as a protected veteran or any other legally protected group status.
AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more visit & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:
Work :
No
Employment Type :
Full-time
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