(IND-Pune) Data Quality Analyst
Jobs descriptions
- Pune
- Cummins India
Key Responsibilities
+ Serve as an expert on data quality tools.
+ Manage metadata and data standards to ensure adherence, working closely with IT.
+ Develop and maintain rules to support a robust data quality process.
+ Use Key Performance Indicators (KPIs) to measure data quality.
+ Assist with tracking, research, and analytical support;
provide input to the design and development of project plans.
+ Maintain documentation, notes, databases, and other records;
communicate the state of data quality.
+ Assist with managing project risk using quality tools to identify areas of risk.
+ Identify and track data quality issues;
create and execute action plans for resolution.
+ Escalate issues and critical conflicts in a timely fashion.
+ Document and share team learnings with other teams;
draw on other experiences to enhance the success of the project.
+ Help the business to prepare data.
+ Assist with initial data exploration steps (binning, pivoting, summarizing, and finding correlations).
+ Assist with cataloguing business attributes to enable data discovery.
+ Support business to establish and enforce guidelines for data collection, integration, and processes.
+ Perform data and systems analysis as required to support data governance processes.
+ Understand data governance roles and processes, and ensure they are followed.
+ Assist with preparation of communications to leaders and stakeholders.
**RESPONSIBILITIES**
**Qualifications:**
+ B.Tech/BE in Computer Science, IT, or a relevant field.
+ College, university, or equivalent degree in a relevant technical discipline, or equivalent experience required.
**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;
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 Mining** - Extracting insights from data by identifying relationships and patterns through a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.
+ **Data Modeling** - Creating, writing, and testing data models, test scripts, and build scripts using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance, and compliance requirements.
+ **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 Governance** - Assuring definition, ownership, metadata management, and security for Cummins data.
+ **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**
**Knowledge/Skills:**
**Technical Skills**
+ **Power BI**
+ Develop, design, and maintain interactive Power BI dashboards and reports.
+ Connect and integrate data from various sources like SQL databases, APIs, and cloud services.
+ Implement DAX functions for data transformation and advanced calculations.
+ Optimize Power BI performance and manage data refresh schedules.
+ **Python**
+ Utilize Python libraries (such as Pandas, NumPy, Matplotlib, and Seaborn) for data manipulation and analysis.
+ Conduct exploratory data analysis (EDA) to uncover insights and trends.
+ Develop scripts for data cleaning, preparation, and visualization.
+ Use Python for automating data processing and analysis workflows.
+ Implement machine learning algorithms (supervised and unsupervised) using libraries like Scikit-learn.
+ **Power Apps Development**
+ Design and develop custom Power Apps applications to meet business requirements.
+ Integrate Power Apps with Power Automate, SharePoint, and other Microsoft services.
+ Troubleshoot and optimize existing Power Apps solutions.
+ **SQL Development&Database Management**
+ Write, optimize, and manage complex SQL queries, stored procedures, and views.
+ Ensure data integrity, performance tuning, and database security.
+ Work on ETL processes for data extraction, transformation, and loading.
+ **Automation&Integration**
+ Leverage Power Automate to automate workflows and data processes.
+ Integrate Power BI and Power Apps with external systems.
+ **Basic Statistics**
+ Perform statistical analysis and hypothesis testing.
+ Use statistical methods to interpret and analyze data trends.
+ **Collaboration&Documentation**
+ Work closely with business stakeholders to gather and understand requirements.
+ Document data models, report structures, and Power Apps solutions.
+ Provide training and support to end users.
**Experience:**
+ 1-3 years of hands-on experience with Power BI, Power Apps, and SQL.
**Job** Quality
**Organization** Cummins Inc.
**Role Category** Remote
**Job Type** Exempt - Experienced
**ReqID** 2412049
**Relocation Package** Yes