Lead Engineer, Data Analytics

Overview:

Support Data Engineering and Data Design responsibilities for the Health Systems team. Partner with internal and external key stakeholders to translate master data sets into customized analytical dashboards and visual tools. Develop, maintain, and document data models that transform application data into actionable reporting and analysis assets. Work collaboratively with all stakeholders namely data engineers, business analysts, and data scientists to align business requirements with data assets.

Responsibilities:

Support Operational Analytics Data Science responsibilities

Develop /program automation in VBA &/or Altyrx to collate multiple data feeds (internal and external) into single master data sets and automate daily reporting processes

Design and maintain data submission templates to be used as the basis of master data sets

Query and collate metrics from automated and non-standard data sources and in adherence to operational definitions

Develop automated data solutions in partnership with corporate IT and Master Data Management teams to collate multiple site-specific information into single master data sets

Perform checks and audits of all data sources to ensure resulting metrics are accurate and complete

Support Operational Analytics Data Design responsibilities

Design and develop key operational scorecards and dashboards to provide data driven insights

Collaborate with key stakeholders to design and adopt operating mechanisms to manage critical data at the local level in a single structured format

Design and maintain data submission templates to be used as the basis of master data sets

Leverage developed solutions to create customized and accurate reporting / scorecard / management tools for regional Operations teams

Examples of Operational Metrics that will be owned, designed, managed, and analyzed

Daily turnaround time performance of key laboratory tests

Daily & hourly labor productivity metrics by job function

Daily monitor of test not performed

Daily volume data

Other key indicators as defined by the stakeholder

Qualifications:

Work Experience:

3-year minimum work experience in role requiring analytics or reporting

Expertise in creating, managing, and discerning large master data sets (Alteryx, Automate)

Expertise in rational database query and creation (Snowflake, Access & SQL)

Experience with cloud data warehouses (like ) that rely on MPP (Multiple Parallel Processing)

Experience in managing SFTP data sharing

Process / Continuous Improvement Experience (GB Certification preferred)

Direct experience in influencing operational leaders

A proven track record in analyzing data and drawing actionable conclusions

Systems knowledge: QLS, QBS, QDSS, Cognos, QPS, QMPS, IDAA

Software / Programming requirements:

Excel- for data mining and creation of static modeling

Alteryx- for metadata aggregation

Minitab- for statistical analysis of historical data

Access- for database queries and creation

SharePoint - for distribution of metrics / data sets

Microsoft Power Bi

Education Preferred:

BS/BA or equivalent required (Mathematics/Statistics degree preferred)

Competencies:

Results Oriented, Collaborative, Analytical,Problem Solving, Customer Focus, Negotiating, Functional and Technical Skills.

Physical and Mental:

Sitting for prolong periods of time

Other:

Ability to travel up to 10%

EEO:

Quest Diagnostics is an equal employment opportunity employer. Our policy is to recruit, hire and promote qualified individuals without regard to race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation, gender identity, or any other status protected by state or local law. Quest Diagnostics observes minimum age requirements established by federal, state and/or local laws, and will ask an applicant for verification when deemed necessary.

Permanent