Module Lead - Data Analytics

YASH Technologies, Inc.; Hyderabad; On-site; INR 500,000 - 900,000; Full time

Job summary

YASH Technologies, Inc. seeks Data Analytics Professionals with 5-8 years of experience to perform data analysis, profiling, and quality assessments within the accounting domain. The role emphasizes translating complex accounting concepts into clear data requirements and user stories.

Responsibilities include collaborating with SMEs, defining financial data rules, and ensuring compliance with accounting standards while supporting testing and stakeholder communication.

Qualifications

• Solid experience in data analysis, profiling and quality checks.
• Ability to translate accounting processes into data requirements.
• Experience with financial data and reconciliations is preferred.

Responsibilities

• Business process analysis and requirements discovery.
• Data profiling and data quality assessment.
• Define rules and metrics for Gold-layer solutions.
• Testing, validation and customer adoption support.
• Documentation, training and process optimization.
• Collaborate with SMEs to capture requirements and document them effectively.
• Translate complex accounting/data concepts into user stories.

Skills

SQL

Requirement analysis

Data profiling

Data quality

Stakeholder comms

Education

Bachelors in Analytics/Accounting

MBA or CPA preferable

Job description

We are looking forward to hire Data Analytics Professionals in the following areas :

Experience

5-8 Years

Data Analyst (Tech. Business Analyst):

• Business process analysis and requirements discovery .
• Data profiling and data quality assessment .
• Business rules and metric definition for Gold-layer solutions .
• Testing, validation and customer adoption support .
• Documentation, training and process optimization.
• Collaborate with SMEs to capture requirements and document them effectively
• Strong experience in the Accounting domain with hands-on knowledge of financial processes.
• Strong knowledge in Accounting work flows, Reconciliations and Account payables & Receivables
• Ability to translate the complex accounting and data concepts into simple user stories.
• Ensure product compliance with accounting standards and regulatory requirements.
• SQL capabilities for data analysis, profiling, Quality checks, and requirement validation.
• Experienced in understanding data models and key entity relationships that drive data insights
• Support data mapping, transformation logic, reconciliation, and data quality checks.
• Familiarity with agile delivery models and product ownership best practices
• Skilled in executing functional tests and ensuring that project objectives are met
• Excellent communication and stakeholder management skills.

Focus Areas :

• Technical: SQL - Basic to moderate
• communication & Confidence & Attitude

Required Technical/ Functional Competencies

Domain/ Industry Knowledge:

• Basic knowledge of customers business processes- relevant technology platform or product.
• Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

• Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.
• Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

• Working knowledge of technology product/platform standards and specifications.
• Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
• Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

• Working knowledge of architecture Industry tools & frameworks.
• Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles:

• Working knowledge of architectural elements, SDLC, methodologies.
• Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

• Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.
• Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

• Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

• Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

• Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility:

• Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus:

• Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

• Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

• Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict:

• Displays sensitivity in interactions and strives to understand others views and concerns.

Certifications

Mandatory

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.