Data Services Manager (2218)

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 systems

• Strong understanding of data engineering principles, data governance and quality processes

• 8+ years' experience with SQL, SQL Server, ETL, SSRS, SSIS, PowerBI, SSAS software, systems, and programs

• 8+ years' experience with Agile, Python, Datawarehouse (Azure Data warehousing), Azure Cloud, TSQL, and R language software and systems

• 6+ years' experience with Data ingestion, Data processing and Data publishing methodologies

• Fluent in statistics, datasets, and scripting

• Understanding of data modeling, data schemas (normalized, flat, star, snowflake, etc.)

• Understanding of database operations and optimization for RDBMS like SQL Server

• Experience in extracting data from structured (RDBMS) and unstructured sources (flat files)

• Understanding data and query optimization, query profiling, and query performance monitoring tools and techniques

• Creating and maintaining business requirements and other technical documentation

• Proven experience in leading engineering teams

• Possess excellent problem solving, analytical and communication skills