Data Analyst - Senior

DESCRIPTION

We are looking for a talented Sr. Data Analyst to join our team specializing in Systems/Information Technology in Seymour, IN.

In this role, you will make an impact in the following ways:

• Enhancing Data Quality : By applying machine learning tools and techniques, you'll improve the quality of data and provide actionable recommendations to resolve issues.
• Informing Leadership Decisions : Conducting descriptive and diagnostic analytics and reviewing results with senior leadership will help guide strategic decisions.
• Identifying Key Patterns : Your ability to identify patterns and trends in data sets and apply statistical process controls will drive insights and improvements.
• Creating Advanced Reports : Developing complex reports and dashboards using advanced business intelligence tools will provide valuable insights and visualizations.
• Optimizing Data Management : By developing data profiles and evaluating data catalog entries, you'll ensure high-quality metadata and guide product development teams.
• Resolving Data Issues : Analyzing diverse data sets to identify and resolve data quality, coherency, and integrability issues will reduce redundancy and enhance data lifecycle management.
• Collaborating on Data Solutions : Working with teams to develop data cleansing methods and integrating analysis findings into governance solutions will improve overall data governance.
• Mentoring and Coaching : Providing guidance and reviewing the work of less experienced team members will foster a collaborative and knowledgeable team environment.

RESPONSIBILITIES

To be successful in this role you will need the following:

• Data Literacy : Understand and express data in context, including sources, constructs, and analytical methods. Clearly describe use-case applications and the resulting value.
• Data Profiling : Assess data issues and cleansing requirements to ensure high-quality data through extraction, mapping, collection, and testing.
• Data Communication and Visualization: Create compelling visual narratives of business problems, root causes, solutions, and opportunities using reports and dashboards.
• Data Quality : Identify, understand, and correct data flaws to support effective information governance and decision-making processes.
• Project Management: Balance scope, schedule, and resources effectively to manage projects successfully.
• Data Analytics : Discover, interpret, and communicate both qualitative and quantitative data. Apply statistics, data validity, visualization, and problem-solving to extract meaningful patterns and insights.
• Effective Communication : Develop and deliver clear, multi-mode communications tailored to the unique needs of different audiences.
• Customer Focus : Build strong relationships and deliver customer-centric solutions.
• Tech Savvy: Stay ahead of innovations in digital and technology applications relevant to business-building.
• Stakeholder Management : Anticipate and balance the needs of multiple stakeholders effectively.
• Action Oriented: Approach new opportunities and challenges with urgency, high energy, and enthusiasm.
• Managing Ambiguity: Operate effectively even when things are uncertain or unclear.

Education, Licenses, Certifications:

• College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
• This position may require licensing for compliance with export controls or sanctions regulations.

Experience:

• Intermediate experience in a relevant discipline is required.
• Knowledge of the latest technologies and trends in data science is highly preferred and includes:
• SQL query language execution on NOSql and SQL sources
• Exposure to Agile software development
• Exposure to IoT technology
• Data profiling tools, technologies and coding
• Data Catalog tools and technologies
• Business intelligence tools and technologies
• Intermediate experiences in the following are preferred:
• Exposure to Big Data open source
• Clustered compute cloud-based implementation experience

QUALIFICATIONS

Additional Information:

This role will require to have experience and applied the following skills:

• Experience creating dashboards and business metrics out of multiple data sources
• Experience working with top-level assumptions and expand to lower-level details
• Experience with clustering techniques to be able to aggregate data meaningfully
• Experience creating data models and scenario modeling in software and in Excel
• Expert in Data visualization techniques in Power BI
• Advanced in SQL to query Oracle, Snowflake, OBIEE
• Skilled in programming Python or R
• Skilled in statistics, knows SPSS or Minitab
• Skilled in Web design and written communications
• Advanced excel skills

Compensation:

Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidates qualifications and experience, where appropriate.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category Hybrid

Job Type Exempt - Experienced

Min Salary $76800

Max Salary $115200

ReqID 2410730

Relocation Package No

Cummins and E-Verify

At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates the right to work using E-Verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employees Form I-9 to confirm work authorization. Visit http://EEOC.gov to know your rights on workplace discrimination.

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