298 Data Analysts jobs in Hyderabad
Quality Engineer – Statistical Analysis, Python & R | SPC & Exploratory Data analysis | Feature E...
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Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. Work closely with Global Quality and internal customers to perform data analysis in key metrics to monitor quality and reliability health including DPM and Uncorrectable Error (UE) metrics. Additionally, you will also work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution.
Responsibilities and Tasks include but not limited to
Skills and experience you will need:
Data Mining Analyst
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improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Senior Principal Consultant, Process Mining: Pre- Sales, Data Mining, Analytics & Delivery
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Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Senior Principal Consultant, Process Mining: Pre- Sales, Data Mining, Analytics & Delivery!
Responsibilities:
· Client Engagement
§ Educate clients (and internal Genpact stakeholders) in the benefits of process mining technology combined with domain and change management expertise
§ Inspire clients with digital transformation strategies that can be deployed to help achieve their goals across their entire organizations
§ Present demonstrations of the technology in action
§ Work closely with client stakeholders (senior execs, business process owners, technology), Genpact stakeholders (sales, consultants, operating leaders, service line leaders, alliances legal as required) to create the right team “flying formation” to deliver successfully
§ Authoritatively balance our customers’ individual BPM needs and actively participate in customer workshops.
§ Translate the platform analysis into business outcomes and actions required to deliver value
§ Ability to engage senior client executives, i.e., C-suite, and Line of Business Executives in one-on-one discussions.
· Project Management
§ Lead Program plan and solution roadmap development for Process Mining enabled transformations (including running scoping and user requirement workshops, managing and facilitating data validation sessions)
§ Lead end-to-end Process Mining implementation in the areas of AP, AR, Order Management, Procure to Pay
§ Serve as liaison for Data engineer, analytics platform and business user and support ongoing transition/reorganization activities
§ Demonstrated experience managing deliveries across multiple projects utilizing the global delivery model spanning on-site, on-shore, and off-shore locations.
· Advisory Services
§ Solicit requirements for Business Process Mining models including what data they will use and how the company will use them after they are built
§ Understanding/experience of business process analysis, process modeling, process re-engineering, process architecture; lean six sigma; digital business transformations
· Team Leadership
§ Should be adept at managing large teams.
Qualifications we seek in you!
Minimum Qualifications
• IT work experience
• 3–4 end-to-end Process Mining implementation experience areas in AP, AR, Order Management, Procure Pay solution
• Experience driving digital transformation, IT transformation and re-engineering
• University degree Computer Science or related field or business-related. Good experience Process Mining Solutioning Pre-Sales leading Delivery implementation project.
Key Skill Sets
• Prepare and connect to the respective on-premise/Cloud source system; extract & transform customers' data; design process-specific analyses
• Build BPM models that are accurate robust informative ways that help our business grow even faster
• Apply analytics & modeling own drive improvement projects/initiatives within related function
• Drafting documentation technical procedures processes
• Understanding translating information security measures data processing considerations into client requirements terms
• Work closely other architects Big Data Databases Analytics, Artificial Intelligence, Security and Business Development teams to enable large-scale customer use cases and drive adoption on client’s landscape
• Ability to design and communicate solutions offers designed team without assistance required
• Strong communication and presentation skills
Data Analysis Specialist
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Job Description:
Role: Data Analyst- Sr. Associate
Experience: 5-12 Years
Skills: Data Analysis, DatawareHousing, Strong Sql, Python
Insurance Domain experience of minimum 3-4 years (Mandatory- reinsurance, actuaries. Good to have- annuities, liabilities)
- 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry.
- Hands-on experience with Vertica/Teradata for querying, performance optimization, and large- scale data analysis.
- Advanced SQL skills: proficiency in Python is a strong plus.
- Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.
- Experience working in hybrid onshore-offshore team environments.
- Knowledge of data engineering principles: ETL/ELT, data lakes, and data warehousing.
- Deep understanding of data modeling concepts and experience working with relational and dimensional models.
- Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
- A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
- Strong understanding of life insurance products and business processes across the policy lifecycle.
- Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.
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Data Analysis & Reporting Associate Analyst
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This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualization, and performing predictive and prescriptive analytics approaches for PepsiCo to drive actionable insights for the North American market.Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes
ResponsibilitiesHR Data Analysis Manager
Posted 2 days ago
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+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.
Geologist - Remote Data Analysis
Posted 8 days ago
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Responsibilities:
- Analyze geological data from various sources, including remote sensing, seismic, and well logs.
- Develop and interpret geological models to identify potential mineral and hydrocarbon resources.
- Utilize GIS and geological software for data visualization, mapping, and analysis.
- Assess geological hazards and risks for exploration and development projects.
- Collaborate with exploration teams to plan field operations and data acquisition strategies.
- Prepare detailed technical reports and present findings to management and stakeholders.
- Stay abreast of advancements in geological technologies and methodologies.
- Contribute to the strategic planning and prioritization of exploration targets.
- Ensure data integrity and compliance with industry standards.
- Mentor junior geologists in data analysis techniques.
- Master's or Ph.D. in Geology, Earth Science, or a related field.
- Minimum of 7 years of experience in geological data analysis, preferably within the mining or exploration industry.
- Expertise in geological modeling software (e.g., Leapfrog, Petrel), GIS (e.g., ArcGIS, QGIS), and data analysis tools (e.g., Python, R).
- Strong understanding of remote sensing principles and interpretation of satellite imagery.
- Proven ability to interpret complex geological datasets and derive actionable insights.
- Excellent written and verbal communication skills.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
- Strong analytical and critical thinking skills.
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Global Meetings & Events Data Analysis Expert
Posted 2 days ago
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**Location** : Hyderabad
**About the job** :
At Sanofi we chase the miracles of science to improve people's lives. We are dedicated to making a positive impact on the lives of the patients and families we serve, and we accomplish our goals through world-class research and with the compassion and commitment of our employees. As we continue to transform the practice of medicine, the next chapter of Sanofi's Play to Win strategy will require a focus on delivering transformation and simplification of our core processes, optimizing resource allocation and deployment to fuel business growth and investment in science. To facilitate this transformation, the Business Operations Business Unit is bringing together existing business service activities, and driving further expansion of centralized services at scale into a global unit, with a focus on driving simplification, efficiency, and productivity. This new Business Unit will enable the delivery of best-in-class business support capabilities across the organization, incorporating and engaging disparate teams from across areas such as R&D, M&S, the Corporate Functions and GBUs into new global Service Delivery Towers with initial services spanning Commercial, Finance, Procurement and People & Culture.
Reporting to the **Event & Engagement Insights & Analytics Lead** , the **Global Meetings & Events Data Analysis Expert** plays a critical role in analyzing and visualizing data leading driving data-driven decision-making within Sanofi's Global Meetings & Events (GM&E) operations. Along with a junior data analyst, this role focuses on analysing performance metrics, creating insightful reports, and developing interactive dashboards to enhance visibility on the GM&E process.
**Main Responsibilities:**
+ **Data Analysis:** Employ advanced analytics techniques to analyze meetings & events data, extracting valuable insights for process optimization.
+ **Perform** **ance Analysis:** Conduct in-depth analysis of meetings & events performance metrics, identifying trends, opportunities, and areas for improvement.
+ **Domain Knowledge:** Understand Meetings & Events processes and maintains expertise on key trends / developments.
+ **Report Generation:** Develop and generate regular and ad-hoc reports on key performance indicators (KPIs) to provide stakeholders with actionable insights.
+ **Dashboard Development:** Design and create interactive dashboards using Power BI to enhance data accessibility and understanding.
+ **Data Integrity:** Ensure the accuracy and reliability of data used in performance analysis and reporting through regular validation and quality checks.
+ **Collaboration:** Work closely with Meetings and Events team, procurement teams, IT, Finance and other relevant stakeholders to gather data requirements and align reporting with business needs.
+ **Continuous Improvement:** Identify opportunities to enhance reporting processes, implement automation where possible, and stay abreast of industry best practices.
+ **Communication:** Effectively communicate performance insights and trends to a diverse audience, tailoring the message to meet the needs of different stakeholders.
+ **Mentoring:** Work closely with the new junior data analyst and help him/her to improve his/her analytics skills as well as his/her soft skills.
**About you:**
+ **Experience:** 6+ years of experience in performance analysis, reporting, and dashboard development.
+ **Functional skills:** Experience in performance analysis related to meetings & events and knowledge of events data management tools like Sales Force.
+ **Soft skills & Technical skills:** Proficient in Power BI and relational database management and design. Hands on experience of SQL and sound understanding of coding (Python, Power Query, DAX). Strong analytical and problem-solving skills, with attention to detail. Good communication skills to convey complex data concepts. Experience in handling large data set (big data), knowledge of AI/ML and any automation tool is a plus. Collaborative mindset with the ability to work effectively in a team environment.
+ **Education:** Bachelor's/Master's degree in Business Analytics, Business Intelligence, Data Science or a related field
+ **Languages:** Fluent in English (spoken and written)
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
Principal Geologist - Remote Sensing & Data Analysis
Posted 15 days ago
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Senior Geologist - Remote Sensing & Data Analysis
Posted 15 days ago
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Responsibilities:
- Geospatial Data Interpretation: Analyze satellite imagery (e.g., Landsat, Sentinel, ASTER) and aerial data for geological feature identification, mineral mapping, and alteration zone detection.
- Data Processing and Integration: Utilize GIS and remote sensing software (e.g., ENVI, ArcGIS, ERDAS Imagine) to process, analyze, and integrate diverse geological and geophysical datasets.
- Prospect Generation: Develop and refine methodologies for identifying high-potential exploration targets based on remote sensing and geological data integration.
- Model Development: Contribute to the development and validation of geological and mineral deposit models informed by remote sensing data.
- Technical Reporting: Prepare detailed technical reports and presentations summarizing findings, methodologies, and recommendations for exploration strategies.
- Collaboration: Work closely with field geologists, geophysicists, and data scientists in a collaborative remote environment.
- Research and Development: Stay abreast of the latest advancements in remote sensing technology and geological data analysis techniques.
Qualifications:
- Education: Master's or Ph.D. in Geology, Earth Sciences, or a related field with a strong focus on remote sensing and GIS.
- Experience: Minimum of 8 years of relevant professional experience in geological exploration, with a significant emphasis on remote sensing data application.
- Software Proficiency: Advanced skills in GIS software (ArcGIS, QGIS) and remote sensing software (ENVI, ERDAS Imagine, Google Earth Engine). Experience with programming languages like Python or R for data analysis is a plus.
- Geological Knowledge: Strong understanding of structural geology, mineralogy, petrology, and various mineral deposit types.
- Analytical Skills: Exceptional analytical and critical thinking skills with the ability to interpret complex geospatial and geological data.
- Remote Work Aptitude: Demonstrated ability to work independently and productively in a fully remote setting, with excellent time management and communication skills.
This is a fully remote opportunity, offering flexibility and the chance to contribute to significant exploration projects without geographical constraints. If you are a seasoned geologist passionate about leveraging cutting-edge remote sensing technologies to unlock Earth's resources, we invite you to apply.