921 Data Analysis jobs in Hyderabad

Hiring Data Analyst for the leading MNC

loc: Hyderabad

Shift: Rotational shift (incld night)

Experience- 6-15 years

excellent communication skills

should have relevant experience into DA,Advance excel,SQL/tableau

immediate joiners only

Job Description:

Job Purpose

We are seeking a detail-oriented and technically skilled Senior Data Analyst to join our Reference Data Operations team. The ideal candidate will be responsible for analyzing, maintaining, and improving data processes related to the Securitized Securities market. This role involves working with large datasets, identifying process improvement opportunities, and implementing automation solutions to enhance data quality and operational efficiency.

Responsibilities

• Analyze and maintain reference data for securitized securities and structured finance instruments.
• Identify and implement process improvements to enhance data accuracy and operational workflows.
• Develop and maintain scripts and tools using SQL, VBA, and Python to automate data processing tasks.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions.
• Ensure data integrity and compliance with regulatory standards using XBRL and XML formats.
• Integrate data from various sources using REST APIs and structured data formats like JSON.
• Support the deployment and maintenance of automation tools such as Automation Anywhere, Blue Prism, and UI Path.
• Document data processes, workflows, and technical specifications for internal use and audits.

Knowledge and Experience

• Bachelor's degree in Statistics, computer science, Finance, Information Systems, or a related field.
• Master's degree in Business Administration, Data Science and Business Analytics is preferred
• Proficiency in SQL, VBA, and Python for data analysis and automation.
• Experience with XBRL, XML, JSON, and REST API integration.
• Familiarity with RPA tools such as Automation Anywhere, Blue Prism, and UI Path.
• 5 years of experience in process automations
• Familiarity of capital markets domain.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

• Data collection and cleaning methodologies.
• Performing exploratory data analysis (EDA).
• Developing and implementing data visualization techniques.
• Understanding and applying statistical concepts.
• Introduction to SQL for data extraction and manipulation.
• Basics of Python for data analysis (Pandas, NumPy).
• Working with large datasets and identifying patterns.
• Assisting in the preparation of data-driven reports and presentations.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong interest in data analysis and business intelligence.
• Basic understanding of statistical concepts.
• Familiarity with spreadsheet software (e.g., Microsoft Excel).
• Excellent analytical and problem-solving skills.
• Good communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies.

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:

Assistant Manager IT Data Analysis

Summary

An IT Data Analyst is responsible for collecting, analyzing, and interpreting data from various sources to help organizations make informed business decisions. They design, maintain, and optimize data systems and databases, transforming raw data into actionable insights.

Key Responsibilities

• Collect, compile, and analyze data from internal and external sources, ensuring data quality and integrity.
• Develop, implement, and maintain databases, data collection systems, and analytics frameworks to optimize statistical efficiency and quality.
• Identify, analyze, and interpret trends or patterns in complex datasets.
• Clean and validate data to ensure accuracy, completeness, and reliability.
• Create dashboards, charts, presentations, and reports to present analysis for internal/external teams.
• Collaborate with stakeholders across departments to identify business requirements for reporting purposes, trend analysis and support data-driven decision-making.
• Generate and automate regular and ad hoc reports to support business needs from different sources of data input.
• Troubleshoot and resolve any data or reporting issues for MS Excel and Power BI.
• Recommend and implement process improvements for data management and analytics.
• Ensure compliance with data security and privacy policies.

Required Skills and Qualifications

• Bachelor's degree in computer science, Information Technology, Statistics, or a related field.
• Proficient in data analysis tools such as Excel, Power Point, SQL, Power BI, Python.
• Strong understanding of database design, management, and data warehousing concepts.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong verbal and written communication skills to explain technical results to various stakeholders.
• Attention to detail and a commitment to data accuracy and security.
• Knowledge of ITSM tools (e.g. ServiceNow, BMC Remedy, Fresh Service)

Good-to-Have

• Experience with cloud data platforms or big data technologies.
• Familiarity with business intelligence (BI) software.
• Knowledge of industry-specific compliance requirements (e.g., GDPR, HIPAA).

What can you tell your friends

“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”

To ensure we execute on our values we are looking for someone who has a passion for:

As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:

You should recognize yourself in the following…

This position is located in Hyderabad, India.

We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.

• Utilize remote sensing data (satellite imagery, LiDAR, etc.) and GIS for geological mapping and mineral exploration.
• Analyze geophysical and geochemical data to identify potential resource targets.
• Develop and validate geological models for mineral deposits.
• Interpret complex geological datasets and generate high-quality reports.
• Design and oversee data acquisition strategies for exploration projects.
• Perform advanced statistical analysis and data mining techniques.
• Collaborate with international teams of geoscientists and data analysts.
• Manage exploration projects from data acquisition to target definition.
• Provide expert geological advice to support decision-making.
• Ensure data integrity and quality control throughout the exploration process.

• Master's or Ph.D. in Geology, Geophysics, or a related field.
• Minimum of 7 years of experience in geological exploration, with a focus on remote sensing and data analysis.
• Expert proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ENVI, ERDAS Imagine).
• Strong understanding of geological principles, mineral systems, and exploration techniques.
• Experience with programming languages relevant to data analysis (e.g., Python, R).
• Proven ability to interpret complex geological data and generate actionable insights.
• Excellent written and verbal communication skills for remote collaboration.
• Demonstrated project management and organizational skills.
• Experience with geostatistical analysis and modeling software.
• Ability to work independently and manage time effectively in a remote setting.