Analytics Analyst - Quality

Cummins

4.3

(41)

Pune, India

Why you should apply for a job to Cummins:

  • 4.3/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 97% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Annual merit and profit sharing based on individual and company performance.
  • More than 150 employee resource groups (ERGs) worldwide provide opportunities for leadership training and professional development.
  • 55% of Cummins’ Executive Team, made up of leaders guiding company strategy, is made up of women.
  • #R-6E3BBADF4A5A41D992AA3630D2F51BDF

    Position summary

    rt project work to ingest key data into the data lake, ensuring the creation and maintenance of relevant metadata and data profiles.

    • Stakeholder Assistance: Assist stakeholders and business teams with finding necessary and relevant data. Participate in communities of practice promoting the responsible use of analytics.

    • Training & Communication: Coach and assist business users in developing capabilities to conduct work in the analytics ecosystem. Assist with the preparation of communications to leaders and stakeholders.

    Data Analytics & Visualization:

    • Design, develop, and maintain interactive dashboards and reports using Power BI to provide actionable insights.

    • Create and optimize data models to support visualization and analytics needs.

    • Implement statistical models and techniques to analyze business data and derive meaningful insights.

    ETL & Data Management:

    • Design and develop ETL pipelines to extract, transform, and load data from various sources.

    • Ensure data accuracy, integrity, and consistency across different platforms.

    • Work with relational databases, writing and optimizing SQL queries for data processing.

    Application Development & Automation:

    • Develop applications and process automation using Power Apps to streamline business processes.

    • Integrate Power Apps with Power BI, SharePoint, and other enterprise systems.

    Team Leadership & Project Management:

    • Lead a team of data analysts and data engineers, providing technical guidance and support.

    • Manage project timelines and deliverables, ensuring the successful execution of data-driven initiatives.

    Advanced Analytics & Platform Expertise:

    • Leverage Databricks and PySpark to perform advanced analytics, build scalable data pipelines, and optimize data workflows.

    • Utilize statistical and machine learning models to solve complex business problems.

    • Explore and implement solutions using low-code/no-code platforms such as Mendix (preferred).

    RESPONSIBILITIES

    Qualifications:

    • Bachelor's degree in Computer Science, Information Technology, or a related field.

    Competencies:

    • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives.

    • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

    • Customer Focus: Building strong customer relationships and delivering customer-centric solutions.

    • Interpersonal Savvy: Relating openly and comfortably with diverse groups of people.

    • Data Analytics: Discovering, interpreting, and communicating qualitative and quantitative data to enable data-driven business decisions.

    • Data Mining: Extracting insights from data by identifying relationships and patterns.

    • Data Modeling: Creating, writing, and testing data models to meet business, technical, security, governance, and compliance requirements.

    • Data Communication and Visualization: Constructing a narrative of the business problem, root cause, solution options, and opportunities through data visualization.

    • Data Literacy: Expressing data in context, including data sources and constructs, analytical methods, and applied techniques.

    • Data Profiling: Assessing data issues and cleansing requirements to ensure quality data.

    • Data Quality: Identifying, understanding, and correcting flaws in data to support effective information governance.

    • Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

    QUALIFICATIONS

    Experience: 6-8 years of relevant work experience required. Experience in manufacturing analytics or a related domain is preferred.

    Skills:

    • Technical Skills:

    • Strong knowledge of statistics and experience with statistical models.

    • Hands-on expertise in Power BI, Power Apps, and SQL.

    • Knowledge or experience in Mendix platforms is a plus.

    • Experience in designing and maintaining ETL processes.

    • Knowledge in Databricks and PySpark for data analytics and processing.

    • Soft Skills:

    • Strong problem-solving and analytical abilities.

    • Excellent communication and stakeholder management skills.

    • Proven ability to lead a team.

    Job Quality

    Organization Cummins Inc.

    Role Category Remote

    Job Type Exempt - Experienced

    ReqID 2412984

    Relocation Package No

    Why you should apply for a job to Cummins:

  • 4.3/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 97% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Annual merit and profit sharing based on individual and company performance.
  • More than 150 employee resource groups (ERGs) worldwide provide opportunities for leadership training and professional development.
  • 55% of Cummins’ Executive Team, made up of leaders guiding company strategy, is made up of women.