15 Data Management jobs in Coimbatore

Job description

Company Overview

Accordion is a global private equity-focused financial consulting firm specializing in driving value creation through services rooted in Data & Analytics and powered by technology. Accordion works at the intersection of Private Equity sponsors and portfolio companies’ management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data and analytics. Accordion is headquartered in New York City with 10 offices worldwide. Join us and make your mark on our company.

Data & Analytics (Accordion | Data & Analytics)

Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a high-growth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together.

Join us and experience a better way to work!

Location: Hyderabad, Telangana

Role overview:

The Technical Director at Accordion is responsible for leading the design, development, deployment, and maintenance of the technology stack. This role requires deep technical expertise, strong business acumen, and the ability to architect scalable, cost-effective solutions tailored to evolving client needs. The Technical Director will assess and enhance existing system architectures across both on-premises and cloud environments to improve performance and ensure long-term sustainability. Additionally, the role demands a strong understanding of industry standards and best practices, as well as the ability to work hands-on with diverse tools and technologies. The Technical Director will also demonstrate strong critical thinking, organizational skills, and the ability to effectively communicate with cross-functional stakeholders.

What You will do:

Partner with clients to understand their business needs and create comprehensive business requirements.

Develop end-to-end Business Intelligence frameworks, recommending the right architecture (on-premises or cloud-based) and analytics solutions.

Collaborate with business and technology teams to guide solution development and ensure successful implementation.

Work closely with business teams to define KPIs and metrics aligned with organizational goals. Partner with Project Managers to develop and execute project plans, ensuring timely delivery within the set schedule.

Create standard reports and functional dashboards based on business requirements to provide actionable insights.

Conduct training sessions and knowledge transfer programs for junior developers, recommending improvements to enhance reporting solutions.

Stay curious and proactive in learning new tools and technologies to offer forward-thinking solutions for clients.

Ideally, you have:

An undergraduate degree (B.E/B.Tech.) from a tier-1 or tier-2 institution.

Over 7 years of relevant experience in the data and analytics domain.

Hands-on expertise with SQL Server, including SSIS, SSAS, and SSRS.

Strong understanding of relational databases such as SQL Server, MySQL, or Oracle, and experience with at least one modern data warehouse platform like Azure Synapse, AWS Redshift, Google BigQuery, or Snowflake.

Experience working with leading BI tools such as Power BI, Tableau, Qlik, DOMO, or Looker.

A solid understanding of cloud platforms—either Azure or AWS—with familiarity in tools like Azure Data Factory, SQL Database, DevOps, Logic Apps, Analysis Services, or AWS Glue, Redshift, RDS, QuickSight.

A demonstrated ability to take initiative and drive innovation.

An analytical mindset and a strong problem-solving orientation.

Why Explore a Career at Accordion:

High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility

Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes.

Entrepreneurial Environment: Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities.

Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve.

Other benefits for full-time employees:

Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employees and family members, free doctor’s consultations, counsellors, etc.

Corporate Meal card options for ease of use and tax benefits

Team lunches, company sponsored team outings and celebrations

Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests.

Reward and recognition platform to celebrate professional and personal milestones.

A positive & transparent work environment which includes various employee engagement and employee benefit initiatives to support personal and professional learning and development.

• Analyze large volumes of financial data to identify trends, patterns, and potential risks.
• Develop and implement sophisticated models to assess and quantify financial risks (e.g., market risk, credit risk, operational risk).
• Create detailed reports and visualizations to communicate risk exposures and findings to senior management and stakeholders.
• Monitor key risk indicators (KRIs) and develop early warning systems.
• Collaborate with various departments to understand their risk profiles and provide data-driven insights.
• Ensure the accuracy and integrity of financial data used for risk analysis.
• Stay updated on financial regulations, market developments, and best practices in risk management.
• Assist in the development and refinement of risk management policies and procedures.
• Use statistical software and programming languages to perform data analysis and build predictive models.
• Conduct ad-hoc analysis to support strategic decision-making and risk mitigation efforts.
• Maintain comprehensive documentation of analytical processes and findings.
• Present complex analytical results in a clear and concise manner to both technical and non-technical audiences.

• Master's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in financial analysis, data analytics, or risk management.
• Strong proficiency in data analysis tools and languages such as SQL, Python (with libraries like Pandas, NumPy), R, or SAS.
• Experience with financial modeling, forecasting, and statistical analysis techniques.
• In-depth understanding of various financial instruments and markets.
• Knowledge of different types of financial risks and their measurement.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong report writing and presentation abilities.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Ability to work independently and manage multiple projects simultaneously in a remote setting.
• Excellent communication and interpersonal skills.
• Familiarity with regulatory frameworks such as Basel III or Solvency II is advantageous.

Key Responsibilities:

• Data Architecture & Management: Design and implement scalable, cloud-agnostic Data Lake, Data LakeHouse, Data Mesh and Data Fabric architectures to efficiently store, process, and manage structured and unstructured data from various sources.
• Data Pipeline Development : Design, develop, and maintain robust data pipelines to ingest, process, and transform data from multiple sources into usable formats for analytics and reporting using services like AWS Glue, Azure Data Factory, GCP Dataflow, Apache Spark, or Apache Airflow.
• Data Integration and ETL: Develop and optimize Extract, Transform, Load (ETL) and ELT processes to integrate disparate data sources into the data lake, ensuring high data quality, consistency, and reliability across multiple cloud platforms.
• Cloud-Agnostic Data Engineering: Develop data solutions that are cloud-agnostic, leveraging open-source technologies like Apache Spark, Delta Lake, Presto, and Kubernetes, ensuring compatibility across AWS, Azure, and GCP.
• Big Data Processing & Analytics: Utilize big data technologies such as Apache Spark, Hive, and Presto for distributed computing, enabling large-scale data transformations and analytics.
• Data Governance and Security : Implement robust data governance policies, security frameworks, and compliance controls, including role-based access control (RBAC), encryption, and monitoring to meet industry standards (GDPR, HIPAA, PCI-DSS).
• DevOps Integration for Data Platforms: Leverage cloud-agnostic DevOps tools and practices for source control, build automation, release management, and Infrastructure as Code (IaC) to streamline the development, deployment, and management of data lake and data architecture solutions across multiple cloud providers. Solutions should support CI/CD pipelines, automated testing, and scalable data workflows.
• Continuous Integration and Deployment (CI/CD ): Establish automated CI/CD pipelines to streamline deployment, testing, and monitoring of data infrastructure and workflows.
• Performance Optimization : Optimize data workflows and query performance using indexing, caching, and partitioning strategies to improve efficiency and cost-effectiveness.
• Monitoring and Troubleshooting : Implement observability solutions using tools like Prometheus, Grafana, or cloud-native monitoring services to proactively detect and resolve data pipeline issues.
• Collaboration and Documentation: Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to design and implement scalable data solutions. Maintain comprehensive documentation of data architectures, processes, and best practices.

Job Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 6+ years of experience as a Data Engineer, specializing in cloud-agnostic data solutions and data lake architectures.
• Strong expertise in cloud data platforms such as AWS, Azure, and Google Cloud, with hands-on experience in services like AWS S3, Azure Data Lake, Google Cloud Storage, and related data processing tools.
• Proficiency in big data technologies such as Apache Spark, Hadoop, Kafka, Delta Lake, or Presto.
• Experience with SQL and NoSQL databases, including PostgreSQL, MySQL, and DynamoDB.
• Expertise in containerization and orchestration platforms such as Docker and Kubernetes.
• Experience implementing DevOps and CI/CD practices using Terraform, CloudFormation, or other Infrastructure as Code (IaC) tools.
• Knowledge of data visualization tools such as Power BI, Tableau, or Looker for presenting insights and reports.
• Strong problem-solving and troubleshooting skills with a proactive approach to identifying and resolving issues.
• Experience leading teams of 5+ cloud engineers.
• Preferred certifications in AWS, Azure, or Google Cloud data engineering.

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:

• Decskill Talent: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.
• Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.
• Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.

At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.

We are looking for a Business Analyst ServiceNow – Order Management and Data for a remote project (working in the Spain's timezone).

Requirements:

• Experience working as a Business Analyst Order Management with focus on Data.
• Business Analyst with experience in data activities, OM knowledge and experience in data migration from external tools to ServiceNow.
• You must be able to grasp functional aspects of data and work with SMEs on mappings.
• Experience in data migration activities, capable to manage large data extractions, covert it into the right ServiceNow target format.
• Desirable experience in OM data model capable to advice best practices on the usage of the fields and its impact on the process.
• Experience with all data objects in the context of OM processes (accounts, sold products, functional products, CIs, contacts, contracts).

Common Skills:

• Excellent written / oral communication skills in English.

• Ability to adapt communication to the audience.

• Excellent interpersonal skills, positive attitude and open mindset.

• Ability to understand and break down complex concepts to clarify the effort and the re-quired changes.

• A team player used to work in a distributed multi-cultural team.

If you’re interested in this job please send your CV in english to with reference LM/BAOM.

Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:

• Decskill Talent: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.
• Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.
• Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.

At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.

We are looking for a Business Analyst ServiceNow – Order Management and Data for a remote project (working in the Spain's timezone).

Requirements:

• Experience working as a Business Analyst Order Management with focus on Data.
• Business Analyst with experience in data activities, OM knowledge and experience in data migration from external tools to ServiceNow.
• You must be able to grasp functional aspects of data and work with SMEs on mappings.
• Experience in data migration activities, capable to manage large data extractions, covert it into the right ServiceNow target format.
• Desirable experience in OM data model capable to advice best practices on the usage of the fields and its impact on the process.
• Experience with all data objects in the context of OM processes (accounts, sold products, functional products, CIs, contacts, contracts).

Common Skills:

• Excellent written / oral communication skills in English.

• Ability to adapt communication to the audience.

• Excellent interpersonal skills, positive attitude and open mindset.

• Ability to understand and break down complex concepts to clarify the effort and the re-quired changes.

• A team player used to work in a distributed multi-cultural team.

If you’re interested in this job please send your CV in english to with reference LM/BAOM.

Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

TCS is hiring for CDS+QST!

Job Location – Mumbai, Pune, Bengaluru, Hyderabad, Noida

Experience Range – 5 to 10 Years

Skillset Required - Test script creation, writing, performing UAT of edit checks and screen, UAT

Educational Qualification(s) Required – Any Life Science Graduate

Key responsibilities

Create and execute detailed test plans and UAT scripts in Excel and /or ALM testing system based on business requirements and technical specifications to verify study/library functionality in Veeva CDMS and/or Rave EDC system and adherence to standards.

• Drive study database user acceptance testing activities and ensure the quality of the study build in the EDC system.

• Ensure accurate delivery of study build with quality deliverables per specification. Participate in the development, maintenance and training rendered on activities around study build and best practices used by business.

• Lead UAT activities for studies and libraries in EDC system, including inbound integrations with an Agile Approach according to applicable SOPs (standard operating procedures) and processes.

• Develop UAT documentation such as Test Plans, UAT Scripts, UAT Summary Report and etc.

• Create and execute standardized test scripts for EDC components, inbound integrations, and data listings.

• Record and document test results and compare to expected results. Detect software and specifications failures, so that defects may be discovered and corrected.

• Communicate actively with management and clinical teams about testing progress and challenges.

• Collaborate with cross-functional teams and vendors to ensure integration accuracy.

• Demonstrate strong understanding of electronic data capture and clinical data management systems, clinical databases, data flow, and related infrastructure, with experience in/around EDC systems such as Veeva CDMS and Rave, Veeva CDB, elluminate® Data Central, EHR, eCOA, IRT, RTSM, TSDV, DMR and adjacent systems.

Babeeta Shahi

TCS - HR

Overview

We are seeking a highly skilled Data Quality Analyst with 3 to 6 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization.

Key Responsibilities

• Perform comprehensive data quality checks and propose enhancements to existing processes
• Analyze and solve complex problems related to data quality in the Investment Banking domain
• Collaborate with cross-functional teams to ensure data integrity across various systems
• Support Business System Analysis ,Project Management, and Quality Assurance initiatives
• Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations
• Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
• Engage in extended testing areas, including End to End Performance Testing
• Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
• Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
• Perform Data Quality Assessments and audits to evaluate data quality
• Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
• Maintain detailed documentation of data quality processes and standards
• Create and present reports on data quality metrics and improvements to management

Required Skills

• Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
• Proficient in SQL, ETL and various data analysis tools
• Well-versed in Charles River IMS (CRD)and its functionalities
• Excellent analytical and problem-solving skills
• Experienced in quality assurance life cycles and testing methodologies
• Effective communicator, capable of engaging with both technical and non-technical stakeholders
• Detail-oriented, skilled in identifying and correcting data discrepancies and errors
• Strong analytical skills for examining data and recognizing patterns or issues
• Familiarity with Agile methodology and Atlassian tools is advantageous
• Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
• Knowledge in snowflake
• Problem-solving skills to devise solutions for enhancing data quality
• Excellent verbal and written communication abilities for collaborating with team members and stakeholders
• Self-motivated and proactive in identifying and resolving data quality issues
• Strong organizational skills and attention to detail
• Ability to work independently and as part of a team
• Eager to learn and adapt to new technologies and methodologies

Postdoctoral Position in AI-Driven Intelligent Energy Management in Data-Enabled Smart Grids: Fault Diagnosis, Cyber Resilience, and Bidirectional EV Integration with WPT(V2G/G2V) @ Coimbatore

Applications are invited from qualified candidates for the post of Postdoctoral Position in AI-Driven Intelligent Energy Management in Data-Enabled Smart Grids: Fault Diagnosis, Cyber Resilience, and Bidirectional EV Integration with WPT(V2G/G2V)  at Amrita Vishwa Vidyapeetham Coimbatore Campus.

Job Title: Visual Design Evaluator – AI/LLM Training Data Quality

Location: Remote

About the Role

We are seeking meticulous and creatively attuned Visual Design Evaluators to contribute to the training and refinement of large language models (LLMs). In this role, you will assess the quality of visual content data and provide expert-level feedback based on established criteria. Your evaluations will directly influence how AI systems understand and generate visual design-related outputs.

Key Responsibilities

• Evaluate and Review: Critically assess visual design tasks and outputs based on internal guidelines.
• Quality Assurance: Ensure submitted data and responses align with principles of high-quality design and AI training standards.
• Apply Design Knowledge: Leverage a deep understanding of design elements such as hierarchy, contrast, balance, proximity, alignment, repetition, and unity.

Required Qualifications

• Strong grasp of visual design principles and fundamentals.
• Demonstrated ability to spot nuanced visual inconsistencies and apply design theory in practical assessments.
• Excellent attention to detail and a critical, analytical eye for creative work.
• Ability to internalize guidelines and apply them consistently across multiple tasks.

Preferred Backgrounds

Candidates with prior training, education, or work experience in the following fields are strongly encouraged to apply:

• Graphic Design (priority requirement)
• Photography
• Advertising Design
• Motion Design / Animation
• Visual Effects (VFX)
• Post-Production
• Computer-Generated Imagery (CGI)
• Formal Design Education (Design schools or specialized visual arts programs)

Who You Are

• A highly visual thinker with a passion for creative excellence.
• Someone who thrives on structured evaluation and precision.
• An individual eager to contribute to the responsible development of next-generation AI tools.

Why Join Us

• Impact: Help shape how AI understands and generates visual content.
• Collaboration: Join a team of designers, evaluators, and researchers at the cutting edge of AI.