Data Analytics Test Lead - Senior Associate - Operate

Role: Data Analytics & Insights Managed ServiceTesting EngineerAssociate

Tower: Testing Managed Service

Experience: 3 5.5 years

Key Skills: Data Analytics SQL Python Statistical Analysis ETL Reporting

Educational Qualification: Bachelors degree in computer science/IT or relevant field

Work Location: Bangalore India

Job Description

At an Associate level youll work as part of a team of problem solvers helping to solve complex business issues from strategy to by using Data Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop selfawareness personal strengths and address development areas.

• Demonstrate critical thinking and the ability to bring order to unstructured problems.

• Ticket Quality and deliverables review Status Reporting for the project.

• Adherence to SLAs experience in incident management change management and problem management.

• Review your work and that of others for quality accuracy and relevance.

• Know how and when to use tools available for a given situation and can explain the reasons for this choice.

• Seek and embrace opportunities which give exposure to different situations environments and perspectives.

• Flexible to work in stretch opportunities/assignments.

• Use straightforward communication in a structured way when influencing and connecting with others.

• Able to read situations and modify behavior to build quality relationships.

• Uphold the firms code of ethics and business conduct.

• Work in a team environment that includes client interactions workstream management and crossteam collaboration.

• Good Team player. Take up cross competency work and contribute to COE activities.

• Escalation/Risk management.

Position Requirements:

Required Skills:

Primary Skill: Data Analytics concepts SQL ETL concepts Python Cloud platform (AWS/AZURE) JAVA core concepts GITLAB

Secondary Skill: Reporting API testing Salesforce Workbench Airflow/prefect

Data Analyst:

• Should have minimum 3 years hand on experience building advanced Data Analytics

• Should have minimum 3 years hands on Experience ETL testing with strong emphasis on accuracy reliability and data integrity.

• Should have minimum 3 years hands on Experience in SQL for Data Handling

• Minimum 01 years of experience in Manual Testing

• Should have extensive experience in developing scalable repeatable and secure data structures and pipelines to ingest store collect standardize and integrate data for downstream consumption like Analytics modeling and Testing Data accuracy.

• Should have understanding on core data concepts: Data ingestion transformation enrichment quality governance lineage and design

• Validating data fields formats and utility using Quality Control checklists

• Should have sound knowledge of snowflake data warehouse and Salesforce workbench for data management and reconciliation.

• Ability to transform requirements and user stories into comprehensive test cases.

• Strong foundation in data modelling principles including database schemas normalization and relationships.

• Ability to define and develop test strategies test plans KPIs Metrics Defect management processes and reporting mechanism.

• Designing Test Cases generate test data based on the requirements and project needs.

• Familiarity with data quality frameworks and tools to enhance testing efficiency.

• Indepth understanding of industry standards and best practices Exposure to Data Quality Platform.

• Should have Strong communication problem solving quantitative and analytical abilities.

Nice to have:

• Certifications in ETL and other BI tools is an added advantage.

• Tools knowledge: Snowflakes Qlik Appflow Data Gaps Query Surge iceDQ Ataccama or equivalent

• Cloud platforms: AWSAZURE

Soft Skills :

• Should have Exceptional written and verbal communication skills to articulate technical details effectively

• Strong problemsolving skills with keen attention to detail and precision.

• Ability to work autonomously as well as collaborate effectively within diverse teams.

• A proactive mindset focused on continuous improvement in quality assurance processes.

• Adaptability manage multiple priorities and excel in dynamic fastpaced environments.

Managed Services Data Analytics & Insights

At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients better.

Within our Managed Services platform PwC delivers integrated services and solutions that are focus on accelerating their priorities including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with todays dynamic business environment.

Within our global Managed Services platform we provide Data Analytics & Insights Managed Service where we focus more so on the evolution of our clients Data Analytics Insights and cloud portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while costeffectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic efficient and costeffective.

As a member of our Data Analytics & Insights Managed Service team we are looking for candidates who thrive working in a highpaced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support enhancement and optimization work as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective but also a relationship perspective.