As a Data Services Manager , you will be responsible for data governance, data manipulation, data integration, data acquisition, building metrics and report generation. A successful Data Services Manager will be very hands-on analyzing raw data, developing, and maintaining datasets, improving data quality and efficiency and delivering data-based insights and solutions. You will own end-to-end delivery of data products, systems and data journey for given business processes supported by data analytics.
Responsibilities
- Lead a data delivery team onshore / offshore and deliver business intelligence metrics, reports, data conversions and mapping.
- Collect, clarify and translate data requirements into documentation and conceptual design.
- Lead ad-hoc business deep dive analysis and present findings to senior leadership.
- Elicit requirements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, tasks, and workflow analysis.
- Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets.
- Be accountable and own the development, delivery and documentation of data management and BI solutions (analytics, reporting, dashboard). Create roadmap, milestones for maturing the analytics and management space.
- Maintain a holistic view of information assets by creating and maintaining blueprints that illustrate how information is stored, processed, and accessed
- Responsible for working on data dictionary, data mapping, data lineage and data transformations, keeping close attentions to data integrity, data quality and timely delivery of the relevant data.
- Design and implement data solutions by inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.
- Design and maintain data models used for reporting and analytics by extracting data from structured and unstructured sources.
- Help the broader team identify new features and business opportunities through data analysis.
- Create dashboards, KPIs and build data visualizations to draw up trends, patterns, and outliers. Modify existing reports, extracts, dashboards, and cubes as necessary.
- Enable self-service BI capabilities for users to be able to slice and dice information as needed.
- Monitor and tune BI tools, data integrations to ensure optimum level of performance.
- Strong hands-on experience with Azure cloud, data services, SQL, Integration toolsets, PowerBI
- Create best-practice reports based on data mining, analysis, and visualization.
- Develop & maintain inventory of the enterprise data. Ensuring adherence to an enterprise data governance framework for data practices, policies, and standards both at a technical and functional level.
- Support data storage and integration solutions including databases, warehousing and BI solutions.
- Propose data schema and data flow optimization for reporting performance and enhancement as needed. Uses current knowledge of business and technology to recommend systems and process improvements.
- Partner with architecture and solution delivery teams to enable BI / data applications that have long-term value.
- Identify and implement automation across development and delivery processes.
Requirements & Skills
Bachelor's or Graduate Degree in computer science, engineering, mathematics, or information systemsStrong understanding of data engineering principles, data governance and quality processes8+ years' experience with SQL, SQL Server, ETL, SSRS, SSIS, PowerBI, SSAS software, systems, and programs8+ years' experience with Agile, Python, Datawarehouse (Azure Data warehousing), Azure Cloud, TSQL, and R language software and systems6+ years' experience with Data ingestion, Data processing and Data publishing methodologiesFluent in statistics, datasets, and scriptingUnderstanding of data modeling, data schemas (normalized, flat, star, snowflake, etc.)Understanding of database operations and optimization for RDBMS like SQL ServerExperience in extracting data from structured (RDBMS) and unstructured sources (flat files)Understanding data and query optimization, query profiling, and query performance monitoring tools and techniquesCreating and maintaining business requirements and other technical documentationProven experience in leading engineering teamsPossess excellent problem solving, analytical and communication skills