Senior Manager, Data Analytics Job Description Template
Our company is looking for a Senior Manager, Data Analytics to join our team.
Responsibilities:
- Work on a wide variety of solutions based on client and tax engagement team’s needs;
- Lead the preparation and presentation of materials including proposals, findings and reports;
- Perform data quality audits, identify data collection issues, suggest improvements, and help implement fixes;
- Serve as a thought leader in terms of what needs to be managed and improved to better serve our customers;
- Understand the systems and business processes that populate critical systems with data;
- Work with stakeholders to outline and define data definitions and apply appropriate usage;
- Perform cross system data investigations and analysis to discover data inconsistencies, outlining path to remediation for development teams;
- Collaborate with industry and subject matter professionals;
- Manage a team of analysts responsible for data integrity and data quality assurance for critical data sources;
- Work as a lead data steward hand-in-hand with the managers of the operating systems to convey the data quality needs;
- Work to support engineering teams tasked with ingestion of critical datasets as a subject matter expert;
- Data preparation (sourcing, acquisition, integration);
- Data Governance;
- Reporting, analytics, data exploration;
- DA competency center or center of excellence (DA COE).
Requirements:
- Optimizely or similar A/B testing platform;
- Adobe Experience Manager;
- Adobe Analytics (Omniture SiteCatalyst);
- Goolge Tag Manager;
- SiteCore;
- Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain data products;
- Development experience with one or more programming languages (C# and Java) and database technologies (SQL Server);
- 6+ years of experience in data driven analysis as a data analyst, scientist, or similar role;
- Minimum two years of experience in technology industry, knowledge of marketing platforms and datasets a plus;
- Experience with applied statistics, hypothesis-driven experimentation (A/B, multivariate);
- Problem-focused and able to understand the big picture before solutioning;
- Can juggle a diverse set of projects and needs and comfortable with a fast pace;
- High attention to detail and a high bar for quality;
- Highly cross-functional: can partner with anyone in the company to problem-solve;
- 5+ years experience in a data-focused leadership position.