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Data Services Manager (2218)

Data Services Manager (2218)

Stone Alliance GroupNewark, New Jersey, United States
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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
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    Manager Data • Newark, New Jersey, United States