Job Description

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 customer's 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 At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. 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 outstanding atmosphere and ethical corporate culture

📌 Module Lead - Data Analytics Job (India)
🏢 Yash Technologies
📍 India