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Business Analyst (MDM)

Uttar Pradesh, India (On-site)

Business Analyst (MDM)

1 Week ago • 2 Years + • Data Analyst

About the job

Summary_{By Outscal}

4 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

Bachelor's degree in related field
2+ years experience in data analysis or architecture
1+ year experience with data quality and profiling tools
Experience with Snowflake and Advanced SQL
Statistical programming languages (Python, R)
Understanding of MDM concepts
Strong interpersonal communication skills
Ability to prioritize workload and manage multiple projects

Good to have:

Master's degree
Experience with Reltio (MDM)
Desire to learn new analytics and data manipulation techniques

Perks:

Competitive salary
Strong insurance package
Extensive learning and development resources

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Position Overview:

As a Master Data Management (MDM) Business Analyst, you will be pivotal in designing and implementing robust MDM solutions to ensure the accuracy, consistency, and reliability of critical business data across the organization. Collaborating closely with stakeholders, business leaders, and IT teams, you will gather requirements, define data governance policies, and architect scalable MDM solutions that align with organizational goals and industry best practices.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Roles and Responsibilities:

Data Governance and Policies:
Develop and implement data governance frameworks, policies, and procedures to govern master data creation, maintenance, and usage.
Establish data quality standards, metrics, and KPIs to measure and monitor the effectiveness of MD initiatives.
Collaborate with business stakeholders to define data ownership, stewardship, and accountability roles within the organization.

Data Quality Assurance & Collaboration:
Ensure the accuracy, completeness, and reliability of data used for MDM. Address data quality issues through cleansing, validation, and verification processes.
Implement continuous improvement processes to enhance data quality and governance practices.
Develop reports and dashboards and build compelling data visualizations that effectively measure, track, and quantify changes in customer behaviour and data quality patterns.
Serve as a subject matter expert on MDM principles, methodologies, and best practices, guiding project teams and stakeholders on MDM-related matters.

Documentation and Communication:
Document data models, processes, governance frameworks, and analytical findings to ensure transparency and knowledge sharing.
Communicate complex technical concepts to non-technical stakeholders clearly and concisely.
Display deep intellectual curiosity, creativity, and commitment to learning to solve critical business problems and push the boundaries of our capabilities.
Contribute to complex long-term projects from initial scoping through full execution and training with inputs from various cross-functional teams (IT, Business, Marketing, Loyalty, and more).
Utilize exceptional communication skills to present findings across the business by effectively translating complex data and analysis into clear insights, opportunities, and tangible business recommendations.

Skills & Qualifications:

Bachelor’s degree in economics, statistics, math, or related business field; master’s preferred
Minimum of 2+ years of experience in data analysis or data architecture
At least one year of experience using data quality and profiling tools such as Information
Steward or Reltio (MDM) for data profiling, automated data cleansing, and proactive management of the quality of the data.
Experience with Snowflake and Advanced SQL; building large data sets across disparate sources required
Experience with statistical programming languages required (Python, R)
Understanding MDM concepts, including data modelling, governance, quality management, and integration.
Desire to learn new analytic and data manipulation techniques to become a ‘local expert’
Ability to think conceptually and creatively about problems and solutions
Strong interpersonal communication skills, verbal and written, are required due to the nature and level of interaction with senior management.
Demonstrated ability to prioritize workload and ability to manage multiple projects while meeting deadlines.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

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