• Pune
• Cummins India

**DESCRIPTION**

**Key Responsibilities:**


+ Conduct descriptive and diagnostic analytics on data sources.

+ Apply machine learning tools on data and metadata to improve data quality.

+ Identify patterns and trends in data sets.

+ Create reports and dashboards on analysis results using business intelligence technologies.

+ Develop data profiles for data tables and elements in the data lake.

+ Create data catalog entries and ensure data catalog metadata quality.

+ Analyze diverse data sets to identify data quality, coherency, and integrability issues and reduce data redundancy.

+ Collaborate to develop data cleansing methods and rules.

+ Assist in the creation and maintenance of documentation of key decisions, rules, controls, and processes.


**RESPONSIBILITIES**


**Qualifications:**


+ 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.


**Competencies:**


+ **Action Oriented:** Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

+ **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.

+ **Tech Savvy:** Anticipating and adopting innovations in business-building digital and technology applications.

+ **Data Analytics:** Discovering, interpreting, and communicating qualitative and quantitative data;

determining conclusions relying on knowledge of business or functional frameworks;

simultaneously applying statistics, data validity, data visualization, and problem-solving approaches to effectively extract meaningful patterns and business insights;

presenting conclusions and outcomes that enable data-driven business decisions.

+ **Data Communication and Visualization:** Constructing a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards.

+ **Data Literacy:** Expressing data in context, including data sources and constructs, analytical methods, and applied techniques;

describing the use-case application and resulting value.

+ **Data Profiling:** Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing;

establishing good, quality data.

+ **Data Quality:** Identifying, understanding, and correcting flaws in data that supports effective information governance across operational business processes and decision-making.

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


**QUALIFICATIONS**


**Skills:**


+ Demonstrated experience as a Data Analyst or in a related data-centric role.

+ Proficiency in SQL (preferably SQL Server) for querying and manipulating data.

+ Practical experience with Databricks for tasks related to data engineering, data science, and analytics.

+ Experience working with Databricks Lakehouse architecture and data warehousing concepts.

+ Knowledge of Azure cloud services, including Azure Data Factory and Azure SQL Database.

+ Expertise in Python programming.

+ Skilled in using PowerBI to create interactive reports, dashboards, and visualizations, with familiarity in SSAS models.

+ Strong analytical mindset with excellent problem-solving skills and keen attention to detail.

+ Good communication skills, capable of conveying complex data insights clearly to non-technical stakeholders.


**Experience:**


+ Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities.

+ 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.

+ Exposure to Big Data open source.

+ Clustered compute cloud-based implementation experience.


**Job** Systems/Information Technology

**Organization** Cummins Inc.

**Role Category** Hybrid

**Job Type** Exempt - Experienced

**ReqID** 2412736

**Relocation Package** No