Marketing Analytics Engineer

JOB REQUISITION

Marketing Analytics Engineer

LOCATION

SAN RAMON

2) Evaluating existing data pipelines to identify opportunities to improve efficiency, data hygiene, and accuracy

3) Analyzing and identifying projects needed to close the gap between current state and future business goals

4) Working closely with stakeholders to clearly define and ensure data engineering project goals.

Specific responsibilities include:

- Provides marketing analytics infrastructure / process gap analysis and recommendations. Conducts research on state of the art in data engineering technology. Ensures that business processes, policies, and procedures are supported by proposed system solutions.
- Follows guidance from the Marketing Data Architect and Lead Marketing Analytics Engineer with matters of metadata accuracy and transparency. Provides the Marketing Data Architect with required information to document the systems and processes that the engineer develops. Maintains high quality documents for code comments, version control, and change management.
- Follows architectural guidance from Marketing Data Architect and handles implementation of new data infrastructure in projects. Collects and analyzes requirement documents such as BRD, measurement plan, ERD diagram, user flow, and translates business requirements into meaningful analytical data models. Designs, implements, and maintains data frameworks that are robust enough to integrate a variety of data sources and capable of supporting real-time & self-service analytics. Ensures that the chosen design of data pipelines is streamlined, efficient, and the implementation follows analytics engineering best practices such as code formatting, version control, testing, and continuous integration. Evaluates existing data pipelines for maintenance and alerting purposes, and makes project proposals for suggested changes as needed.
- No authority in approving expenditures; makes recommendations bases on analysis and presents to leadership team, Global Marketing Analytics for final decision.
- No authority in making decisions that affect the operational model without field management approval.

Qualifications:

- Bachelor’s Degree in Computer Science, Information Systems, Engineering or related course of study required or equivalent work experience. Related Master’s Degree a plus
- 3+ years (5+ years preferred) working experiences in IT-related areas or a data management team, strong experience with metadata management, master data management, and data governance. Previous analytic work with business intelligence, corporate reporting metrics and dashboard systems, data warehousing, information infrastructure and ETL processes. Development work of data transformation in DOMO preferred.
- Excellent understanding of SQL, data schema design, dimensional modeling; Experience using Domo, Google Cloud Platform, RedShift a plus; Highly experienced in best practice ETL/ELT process design and understanding of cloud-based information systems, proficiency in data management tools, experience cleansing and enriching datasets; In-depth understanding of backend analytics engeering solutions for marketing KPI reporting, attribution model, cohort analysis, overlap analysis, user behavior analysis, client lifetime value, etc. Understanding of marketing technology (Martech) landscape a plus.
- Strong communications skills - must be able to explain relatively complex technology solutions in ways that are understandable and actionable to marketing stakeholders. Must also be able to clearly articulate tactical actions to Professional/Management Levels, IT team, product team, and marketing stakeholders. Detail oriented with excellent analytical ability. Must be able to clearly work with marketing program owners to determine business needs and requirements and then translate that into data pipeline requirements for internal teams and external vendors. Data curiosity, innovative thinking and ability to identify opportunities for professional training and growth. Ability to work independently and set priorities based on high level direction of Manager, Data Engineering.

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Robert Half International Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran

As part of Robert Half’s Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check.

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JOB LOCATION

CA SAN RAMON CORP

ADDITIONAL LOCATION