4,314 Data Analytics Manager jobs in India

• Position Title –Data Analytics Manager
• Location – Bengaluru-Corporate Office
• Total Experience of 4 to 10 Years
• Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
• Direct Reporting – Nil (Individual Contributor)
• Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail

Key Responsibilities:-

Data Analysis and Reporting:

• Be the central point for all business and performance analytics
• Oversee the collection, processing, and interpretation of large datasets
• Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
• Develop self-serve BI tools and automated reporting for functional leaders
• Identify trends, patterns, and insights to drive strategic decision-making
• Build and maintain executive dashboards to monitor business health and performance metrics.

Data Strategy Development:

• Develop and implement data analytics strategies to support business objectives.
• Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
• Collaborate with other departments to understand their data needs and provide actionable insights.

Team Management:

• Led and mentored a team of data analysts and MIS experts
• Ensured projects were completed on time and within budget
• Foster a collaborative and innovative work environment

Tool and System Management:

• Implement and maintain data analytics tools and systems
• Ensure the efficient operation of data collection and analysis processes
• Troubleshoot and resolve any issues related to data systems
• Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
• Provide ROI analysis on transformation and cost-saving initiatives

Stakeholder Communication:

• Act as the analytics point of contact for strategy-related initiatives
• Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
• Present insights and recommendations to senior leadership in a clear and compelling manner

Other Responsibilities:

• Delivery of data services to support marketing activities
• Program and develop Extract, Transform and Load programs to support integration
• Ensure data quality within the database - Data Loading and error handling
• User Acceptance Test to ensure Quality in deliverables
• Produce high standard of documentation on data flows and processes
• Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
• Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
• Defined and set up reporting and analysis processes and deliverables that meet client objectives.

Key Performance Indicator:-

• Data Accuracy : Accuracy and reliability of data collected and analyzed
• Insight Utilization : Percentage of business decisions influenced by data insights
• Project Timeliness : Completion of data projects within the agreed timelines
• Team Performance : Productivity and development of the data analytics team
• Stakeholder Satisfaction : Feedback from stakeholders on the usefulness and clarity of data insights
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)

Remarks:-

• Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
• Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
• Knowledge of data management best practices and regulatory requirements.
• Knowledge of data management best practices and regulatory requirements.
• Good Communication & Influencing Skills.
• Looking for stable candidates only (Frequent job changes will be not considered).
• Local Candidates will be preferred

Role requirement of Data Analytics Manager

Key Requirements:

1. Knows working on advanced excel and is able to use complex excel formulae logically to arrive at concrete data for business decision making.
2. Candidates with experience mentioned in the point above should only apply and will be assessed with a short excel based test online.
3. Knowledge and experience with Macros preferred
4. Has an eye to look out for minute things
5. Flawless working, no mistakes
6. Sincere, hardworking, available for work as per schedule
7. Organizational skill & team work
8. Knowledge of the automobile sector and working is preferred

Responsibilities:

1. Develop and maintain advanced Excel dashboards and reports.

2. Ensure data accuracy and consistency across systems.

3. Collect, analyze, and interpret complex data sets.

4. Generate periodic and ad-hoc reports for management.

5. Automate repetitive data tasks through advanced Excel functionalities and macros.

6. Assist in maintaining databases and performing data audits.

7. Prepare presentations

Deliverables:

1. Co-ordination with Field team to update and maintain records and timely submission to the leadership team

2. Regular vetting of input records and highlight discrepancies, if any

3. Publishing daily, weekly and monthly reports

4. Data crunching and analysis, on required basis

Job title: Data Analytics Manager

• Location: Hyderabad

About The Job
Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. Become a part of a dynamic, multicultural global organization that is leading the change in digitalization through impactful data visualization. As an experienced and strategic Data
Analytics Manager,
lead the development and execution of data analytics strategies that support business decision-making and drive organizational growth. In this role, you will oversee the design and execution of data strategies, manage analytics projects, and collaborate with cross-functional teams to identify business needs, translate them into analytical solutions, ensuring timely, accurate, and high-quality insights. The ideal candidate will be accountable and responsible for managing data projects, guiding analysts, and delivering data-driven recommendations to support business decision-making process.

Main Responsibilities

• Collaborate with stakeholders to gather requirements, translate the business needs into technical specifications and understand data visualization needs.  Lead and mentor a team of analysts or BI developers.
• Drive SLAs, demand review, and project estimation, ensuring commitments are realistic and achievable.  Manage multiple projects, ensuring timely deliverables and coordinate with stakeholders for timely updates on ongoing initiatives.
• Assign responsibilities effectively based on team members' strengths and capacity.  Establish best practices and standards for data visualization development.  Address bottlenecks, identify the workload priorities, manage the tasks/resources and ensure timely delivery.
• Consider team feedback, ideas, concerns, address interpersonal and work-related issues to perform at their best.  Ensure quality assurance & data governance throughout the project delivery process.  Oversee development activities, code reviews/approvals, UAT validations and production readiness.  Motivate and inspire team members, provide structured feedback and recognize team efforts and achievements.
• Work independently and collaboratively within cross-functional teams.  Able to Design and develop complex data models, interactive dashboards, report visualizations with advanced features ensuring fast loading times, responsiveness, even with large volume of datasets using organizational BI tools.
• Identify bottlenecks and address data constraints to optimize reports, dashboard performance.  Maintain compliance with internal policies, applicable regulatory and security frameworks.  Maintain project documentation and perform audit checks to ensure team's development details are documented.  Take accountability for the results and performance of the team.
• Coordinate the transition of ownership for maintenance and monitoring post-release.  Identify and suggest constructive solutions to address any gaps in the process, fostering a culture of continuous improvement.

About You

• Candidate must possess master's or bachelor's degree in quantitative subjects (computer science, mathematics, engineering, statistics or science).  Advanced proficiency in data visualization - Power BI Desktop and Services.
• Strong command of DAX (Data Analysis Expressions) for creating measures and calculated columns, groups, field parameters.
• Skilled in Power Query (M language) for data transformation and ETL workflows.  Experience publishing, scheduling, managing Power BI reports and datasets and sharing dashboards with large audience group in the Power BI Service.
• Strong proficiency in SQL (Snowflake is preferrable), developing complex queries, CTEs, window functions and query optimization.  Strong knowledge in data modelling, data warehouse, data lake and relational database concepts.
• Excellent communication skills and the ability to translate business requirements into technical solutions are essential.  Good to have Power APP, Power Automate, programmatic languages (Python/R) and Data Science skillsets.
• Knowledge in GitHub deployment process for Power BI models, reports and maintaining version control.  Proven track record of delivering analytical projects on time and within scope.  Experience in stakeholder management and high level of Interpersonal/ communication skills with an ability to communicate and present at different levels of the organization.
• Knowledge of applicable project methodologies (Agile / Scrum/Kanban/JIRA) preferable.  Strong ability to review, recommend and implement technologies and tools.

Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks' gender-neutral parental leave.
• Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.

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Pursue
Progress
.
Discover
Extraordinary
.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what's never-been-done-before. You'll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives? Let's Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Key Responsibilities:

• Partner with study teams to define, document, and configure/develop data analytics aids required to execute clinical trial as per protocol and regulatory requirements.
• Acts as a subject matter expert and lead within own discipline to investigate new technology as directed.
• Provides required contribution to complex technical tasks, including programming of data visualizations tools (e.g. Spotfire).
• Contributes to, the planning, coordination and execution of multiple programming activities to deliver all required outputs.
• Ensures the collection of programs/outputs and issues are adequately managed for programming activities to achieve business outcomes.
• Shares learnings with peers and contributes to internal technical discussions/forums.
• Anticipates problems within discipline, proactively uses own expertise and/or seeks input from others, to recommend solutions and influence appropriate change.
• In matrix discussions uses technical expertise to provide innovative solutions to project related problems of colleagues and of other projects.
• Makes decisions on the implementation of programming possible solutions for low-risk pieces of work and proactively proposes options for higher risk activities. Later contributes to the maintenance, bug fixing, and enhancements to implemented solutions.
• Contributes to the development or improvement of departmental policies and working practices. Develops responses to audit/inspection questions and complete CAPAs within agreed timelines.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

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GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.

If you come across unsolicited email from email addresses not ending in or job advertisements which state that you should contact an email address that does not end in "", you should disregard the same and inform us by emailing , so that we can confirm to you if the job is genuine.

Key Skills required

The role involves applying advanced analytics, machine learning, and statistical modeling to optimize plant operations, enhance process efficiency, improve product quality, ensure sustainability, and reduce costs. Knowledge in OSI-PI Software and Data Analytics Platform, such as Seeq, Aspen Tech, and Python, is preferred.

Role & responsibilities

1. Collect, clean, and analyze large-scale structured and unstructured data from plant operations (sensors, DCS/SCADA systems, ERP, MES, laboratory data).
2. Develop predictive and prescriptive models for: Process optimization (yield, throughput, energy efficiency). Equipment reliability and predictive maintenance. Quality control and anomaly detection. Supply chain and inventory management.
3. Partner with process engineers, R&D, and operations teams to identify opportunities for data-driven improvements.
4. Deploy machine learning models in real-time production environments.
5. Build dashboards and visualization tools for plant monitoring and decision support.
6. Ensure data governance, model validation, and compliance with safety and regulatory standards.
7. Drive initiatives in digital twin modeling, Industry 4.0, and smart manufacturing.
8. Probability theory (Mathematical foundations), Statistical Inference (Hypothesis testing, Probability Distributions, parametric and non-parametric methods), Machine learning (Classification, Regression, Clustering, model evaluation, Ensemble methods)
9. Knowledge of Programming, such as Python, MATLAB, and Hysis tools preferred.
10. Knowledge in OSI Soft, Process Data analytics Platform such as Seeq, Trend Miner, and Aspen Tech preferred.

Preferred candidate profile

Data Scientist with expertise in chemical manufacturing and process industries to drive data-driven decision-making across our chemical plants with 3-5 years of Experience in Data analytics.

We are seeking a Manager to join our Analytics team in Bangalore. In this role, you will be responsible for building intuitive, high-performance dashboards and data products using Tableau, Looker, SQL, and Python. You will collaborate with global business partners to understand their needs, build scalable analytics solutions, and ensure data integrity and performance across platforms. This is a high-impact role for someone who is passionate about data storytelling, visualization best practices, and enabling a data-driven culture.

Key Responsibilities

• Design and develop interactive dashboards in Tableau and Looker to deliver clear, actionable insights.
• Connect visualization tools to multiple data sources, ensuring data accuracy and reliability.
• Improve performance and responsiveness of reports handling large datasets.
• Create and maintain efficient data pipelines and transformation logic using SQL and Python.
• Partner with business stakeholders to gather requirements and convert them into technical solutions.
• Implement robust validation checks to ensure data completeness and quality.
• Educate and support users in leveraging dashboards and BI tools for self-service analytics.
• Stay updated with industry trends and tools in data visualization and analytics.

Required Qualifications

• 7-12 years of experience in Data Analytics, Business Intelligence, Data Engineering, or related fields.
• Expertise in Tableau Desktop and Server (charts, blending, LOD calculations, performance tuning).
• Strong experience with Google Looker Studio.
• Advanced SQL skills and a solid understanding of relational database principles.
• Familiarity with ETL/ELT tools, data engineering workflows, and Google Cloud Platform (GCP).
• Excellent communication skills; ability to explain technical topics to non-technical stakeholders.
• Team Handling skills, Team mentoring, Performance appraisal done for the immediate reportees
• Strong analytical mindset and problem-solving capabilities.
• Experience with Agile methodologies (Scrum, Kanban) and tools such as Jira.
• Team-oriented, collaborative approach with a focus on delivery.

Preferred Skills

• Certifications in Tableau and/or Looker.
• Exposure to retail analytics and performance KPIs.
• Working knowledge of Python or R for scripting and data manipulation.

Why Fossil Group?

At Fossil, we foster a creative, dynamic, and inclusive work culture. We believe in investing in our people and empowering them to grow in their careers. Join us to be part of a team thats shaping the future of fashion and technology.

Multiple Locations, India

• 2 more locations

Date posted

Aug 20, 2025

Job number

Work site

Up to 50% work from home

Travel

0-25%

Role type

Individual Contributor

Profession

Analytics

Discipline

Data Analytics

Employment type

Full-Time

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

We are seeking a AI/ML Engineer to lead the design, development, and deployment of agentic AI systems and multi-agent architectures. You will focus on large language models (LLMs), intelligent agents, and Azure-native deployment to automate complex incentive workflows. Collaborating closely with our Data Engineering team (handling pipelines, integrations, and reporting), you will own the AI core functionalities—from document parsing to agent orchestration, scaling solutions iteratively to handle increasing volumes and complexities.

Required Qualifications

• Bachelor's or master's degree in computer science, AI, Machine Learning, or a related field.
• Hands-on experience with Azure OpenAI or similar LLM platforms (e.g., OpenAI API, Hugging Face).
• Expertise in LLMs, including LangChain for agent building and prompt engineering techniques.
• Proficiency in Python for developing AI solutions, with strong skills in libraries like LangChain, NLTK, or spaCy for NLP tasks.
• Proven experience building autonomous AI agents or multi-agent systems for real-world applications, such as business process automation.
• Familiarity with NLP for parsing unstructured documents (e.g., T&C extraction).
  
  Understanding of cloud infrastructure setup, particularly Azure services (e.g., Functions, Key Vault, Application Insights) for deploying and scaling AI workloads. Strong problem-solving skills and ability to work in an iterative, agile environment.

Preferred Qualifications

• Experience scaling AI systems to handle increased workloads, such as more incentive calculations, using serverless architectures or containerization.
• Knowledge of business domains like incentive management or contract analysis.
• Familiarity with tools like CrewAI for agent orchestration or Azure ML for model fine-tuning.
• Experience collaborating with Data Engineers on integrations involving cubes, SQL servers, or Power BI.

• Lead the design, development, and deployment of agentic AI and multi-agent systems to automate incentive workflows (ingestion parsing calculation reporting).
• NLP techniques to parse T&C documents, extracting eligibility rules, identifiers, and business logic into structured outputs (e.g., JSON).
• Implement prompt engineering, fine-tuning, and inference for LLMs (Azure OpenAI, Hugging Face) to handle business logic, corrections, and decision-making.
• Architect and modernize cloud-native applications using APIs, microservices, event-driven designs, and containerized deployments (AKS, Functions, Logic Apps).
• Build and manage MLOps workflows (CI/CD pipelines, retraining, monitoring, governance) to ensure robust AI lifecycle management.
• Deploy production-grade AI systems at scale with self-correction, monitoring, and failover mechanisms.
• Implement Retrieval-Augmented Generation (RAG) and knowledge-driven AI pipelines for enhanced reasoning and decision-making.
• Collaborate with Data Engineers to integrate AI agents with Azure Synapse, SQL, Dataverse, and Power BI for dynamic incentive computation and reporting.
• Iteratively scale the system: from handling a few T&C use cases to supporting dozens of documents, multiple data sources, and high-volume incentive calculations.
• Stay up to date on agent orchestration, reinforcement learning, and semantic search to enhance agent autonomy and system efficiency.

Skills to have
- Professional experience in AI/ML engineering, with a strong focus on LLMs and intelligent agent systems.
- Hands-on expertise with agentic AI frameworks (LangChain, AutoGen, CrewAI, MetaGPT, LangGraph).
- Proven experience in LLM orchestration and NLP pipelines (Hugging Face, OpenAI APIs, Semantic Kernel, PromptFlow).
- Strong coding skills in Python (primary), with experience in Java, .NET, TypeScript, C#, or C++.
- Proficiency in Azure ecosystem: Azure OpenAI, Cognitive Services, Azure ML, Synapse, Data Factory, Microsoft Fabric.
- Experience in cloud-native deployments (AKS, Functions, Logic Apps, Event Hubs, Key Vault, Application Insights).
- Knowledge of distributed computing (Ray, Dask), messaging systems (Kafka, Redis), and AI Ops/Security (Gen AI Ops, Sentinel, monitoring).

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.



Industry leading healthcare



Educational resources



Discounts on products and services



Savings and investments



Maternity and paternity leave



Generous time away



Giving programs



Opportunities to network and connect

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

FinBox: Where Fintech Meets Fun
Welcome to FinBox, the buzzing hive of tech innovation and creativity

Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines.

Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we've helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month.

Why Should You Be a FinBoxer

• Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech.
• Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike.
• Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement.
• Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another.

Who's a Great FinBoxer
At FinBox, we're on the lookout for exceptional folks who are all about innovation and impact. If you're excited to shake things up in the banking & financial services world, keep reading

Creative Thinkers:
If your brain is always bubbling with out-of-the-box ideas and wild solutions, you're our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table.

Customer Heroes:
Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy.

Team Players:
We believe in the power of "we." If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you'll fit right in.

About The Role
We are looking for a highly motivated and experienced Data Analytics Manager to lead our analytics function and drive data-informed decision-making across the organization. In this role, you will manage and mentor a team of analysts, define our data strategy, and collaborate closely with cross-functional stakeholders to deliver insights that shape business outcomes.

What You'll Do

• Lead, mentor, and inspire a team of data analysts, guiding them on projects,career growth, and performance.
• Develop and execute the company's data analytics strategy, ensuring alignment with overall business objectives.
• Oversee the analysis of large, complex datasets to uncover actionable insights and identify business trends.
• Partner with cross-functional teams (Product, Engineering, Sales, Operations, etc.) to understand business requirements and deliver data-driven solutions.
• Design and implement reports, dashboards, and visualizations to present key insights to senior management and stakeholders.
• Establish and maintain standards for data collection, processing, and analysis to ensure accuracy, consistency, and security.
• Stay on top of industry trends, emerging technologies, and best practices in analytics, recommending enhancements to tools, processes, and methodologies.
• Act as a strategic advisor to department heads and executives, delivering insights that directly influence decision-making and business growth.

Who You Are

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field (Master's preferred).
• 10+ years of experience in data analytics and data management, with at least 5+ years in a leadership role.
• Strong hands-on expertise in SQL, Python, R, and data visualization tools (e.g.,Tableau, Power BI, Looker).
• Excellent analytical and problem-solving skills, with the ability to translate complex data into clear, actionable insights.
• Proven experience in team management, including hiring, coaching, and performance evaluations.
• Exceptional communication and stakeholder management skills, with the ability to present data insights to both technical and non-technical audiences.
• Strong business acumen and a passion for enabling data-driven decision-making across an organization.

Why Join Us?

• Opportunity to build and scale the analytics function in a high-impact role.
• Work in a dynamic, fast-paced environment where your insights directly shape strategy.
• Collaborate with diverse teams and senior leadership on solving meaningful business challenges.
• Continuous opportunities for professional growth and learning.

We are Hiring for DATA Analytics Manager for our French Automotive Supplier for TATA Motors Hyundai and MAhindra located in Oragadam in Chennai. Would Prefer Candidate working in Automotive and Manufacturing Background.

To understand the automation/data analytics requirement from business and coordinate with developers for technical functional assistance by estimating the business value for the organizationTechnical Expertise to have :

• Create & design or structure the data architecture in standard environment database/data lake/cloud(GCP) with data security.
• Structure large set of data in to easy and scalable format
• Data integration and normalization on master data, including creation, updates, and deletion or cleansing.
• Develop technical codes to convert business logics into data wrangling algorithm & tabulation
• Find technical solution to resolve problem in analytical manner
• Transfer business data into real-time visualization
• Establish KPIs to measure the effectiveness of business decisions
• Establish visually enhanced dashboards with predictive analysis by produce real-time data refresh
• Provide continuous monitoring/maintenance for delivered products
• Follow organization standards, maintain, and track good documentation for daily transformations
• Collaborate with stakeholders, communicate regular updates
• Convert actions into value of delivery.