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Mgr - IT Solutions - Data & Analytics

Mgr - IT Solutions - Data & Analytics

ConfidentialPune
7 days ago
Job description

Position Summary

This role is responsible for the design, development, and implementation of all stages in the Data & Analytics (D&A) solution development life cycle. It involves collaborating with business and IT stakeholders to build cutting-edge D&A solutions and managing a team of professionals in delivering high-quality analytical systems. The role requires strong technical expertise across multiple layers of the data solution stack and proven leadership in guiding teams through design and development phases.

Primary Duties and Responsibilities

  • Work with business stakeholders to identify business problems, opportunities, and initiatives where analytics can provide valuable insights.
  • Conceptualize, design, and develop data management solutions using industry-standard data engineering techniques.
  • Translate data into actionable insights with scenario analysis, business impact assessments, and execution plans.
  • Conduct data analysis and design moderately complex analytic algorithms.
  • Model and frame business scenarios that drive improvement in critical business processes and decisions.
  • Collaborate with subject matter experts to select relevant data sources and translate requirements into conceptual, logical, and physical data models.
  • Execute data profiling and implement data quality improvement procedures.
  • Develop specifications for custom reports, incorporating unique business rules and data elements.
  • Identify and solve complex technical challenges within data management platforms.
  • Analyze data platforms to identify areas for optimization and propose innovative technical solutions.
  • Lead the design and implementation of data warehouses, data lakes, and analytics solutions using modern cloud and on-prem technologies.

People Management

  • Provide leadership, direction, and support to team members to help them achieve organizational and individual goals.
  • Set clear performance expectations, conduct regular reviews, and provide constructive feedback.
  • Identify training needs and create employee development plans to promote continuous learning.
  • Address and resolve conflicts within the team, maintaining a positive and productive work environment.
  • Participate in recruitment, interviewing, and onboarding of new team members.
  • Promote employee engagement through team-building activities and recognition programs.
  • Lead diverse teams effectively by influencing through knowledge and expertise.
  • Maintain transparent communication with the team regarding goals, policies, and organizational updates.
  • Allocate resources effectively, ensuring team members have the necessary tools and support.
  • Ensure adherence to company policies, procedures, and ethical standards.
  • Develop performance improvement plans for underperforming employees with coaching and mentoring support.
  • Oversee cross-functional software development projects and ensure successful project delivery through strong project management practices.

    • Educational Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or a related discipline (or equivalent experience).

    • Preferred Certifications

  • Data Analytics or Data Management / Engineering certifications (MS Azure, Databricks, etc.)
  • BI tool certifications (Power BI, Qlik Sense, Tableau)
  • Lean Six Sigma or Kaizen certification
  • ITIL or ITSM certification
  • Project Management Professional (PMP) certification

    • Work Experience

  • Minimum 10 years of experience in Data & Analytics solution development, with at least 2 years in a people management role.
  • Hands-on experience in healthcare data analytics or data engineering / data management using cloud / on-prem technologies (MS Azure, Databricks, Synapse, ADF, Logic Apps, MS SQL, SSIS, SSRS).
  • Experience leading cross-functional projects and managing large teams.

    • Skills & Knowledge

    Behavioral Skills

  • Assertiveness, communication (verbal and written), creativity, and innovation.
  • Critical thinking, coaching, and mentoring.
  • Collaboration and conflict resolution.
  • Detail orientation, interpersonal communication, planning, and prioritization.
  • Problem-solving, impact and influencing skills.
  • Multitasking, organization, and time management abilities.
  • Strong people management and presentation skills.

    • Technical Skills

  • Data engineering and pipeline development using both cloud and on-prem technologies.
  • Building and maintaining data warehouses, data marts, and data lakes.
  • Big data analysis, data modeling, and data governance.
  • Data quality assurance and metadata management.
  • Advanced data visualization and dashboard creation.
  • Programming proficiency in SQL, R, and Python.
  • Knowledge of enterprise IT management, IT infrastructure, and information security strategies.
  • Experience designing and maintaining standard operating procedures and service level frameworks.

    • Tools Knowledge

  • Data engineering and management tools : Databricks, MS Azure Synapse, ADF, Logic Apps, SSIS.
  • Business intelligence and visualization tools : Power BI, Tableau, Qlik Sense.
  • Data visualization and analytics tools for reporting and insights generation.
  • CRM platforms : SAP, Salesforce.
  • Microsoft Office Suite and productivity tools.

    • Skills Required

    Databricks, Power Bi, Sql, Python, Adf

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