518 Senior Data Analyst jobs in Hyderabad

Required Skills

• Computer or Information Science or equivalent field, DAMA Data certifications a plus
• 4+ years of experience in data modeling, database design, and data architecture
• Experience in the Banking Domain is a must
• Data modeling, Data lineage, Data standards.

Proficient in:

• Data Lineage / Modeling tools (ER Studio)
• Informatica toolsets including Data Archive, EDC, Oracle database
• Expert understanding of Data Warehouse design for high volume processing and performance
• Knowledge of Business Intelligence tools, including Tableau, Microsoft PowerBI
• Bachelor’s or Master’s degree specialized in Information and Data Management and Design
• 3 years of deep data modeling and architecture experience

Responsibilities:

• Gather business requirements and communicate updates on build out of analytical solutions.
• Build rich datasets, reports, and dashboards for various stakeholders across the organization.
• Extract and implement data from various sources/data types, including but not limited to SQL, plain text, tabular, binary large objects (“BLOB”) and JavaScript Object Notation (“JSON”).
• Analyze data from across the organization to identify opportunities for growth and to support the Bank's strategic objectives.
• Coordinate the monitoring and assessment of the performance of analytical solutions.
• Discover and investigate data patterns that require further analysis.
• Utilize appropriate tests to draw accurate conclusions and provide actionable insights.
• Ensure adherence to data quality protocols, and standards, perform quality assurance testing and validation.
• Help leverage newly adapted data systems like Microsoft Lists for Campaigns and contribute to the vision for larger project builds.
• Provide ongoing support for existing data systems and related processes.
• Support survey instrument development and implementation for improved services. Coordinate survey data collection and processing.
• Communicate data analysis findings to stakeholders, leaders, and department heads and solicit feedback.

Qualifications:

• Bachelor’s degree in a relevant field or HS diploma with minimum 2 years of related experience required.
• Minimum 2 years of experience in an applied analytical role required.
• Prior experience with CRM platforms like Salesforce or Dynamics preferred.
• Prior experience with Snowflake preferred.
• MS Office advanced knowledge specifically Excel (pivot tables, logic functions, lookups and complex formulas).
• Experience with SQL reporting and/or tabular data.
• Familiarity with survey methodology and collection tools.
• Demonstrable experience using data wrangling software like PowerBI or Tableau.
• Professional experience in a common statistical or data science tool such as R, Python, Azure Cognitive Services preferred.
• Excellent written and verbal communication skills.

Company Benefits :

Compensation - Competitive compensation package comparable to the best in the i Industry.

Career Growth - Career development, comprehensive training & certification programs, and fast track growth for high potential associates

Benefits: Comprehensive health benefits and life insurance.

About the Company: ValueMomentum, headquartered in New Jersey, USA, is the largest standalone provider of IT services and solutions to insurers and financial services firms. Our industry focus, technological expertise backed by R&D, and customer- first approach uniquely position us to deliver the value we promise and drive momentum for our customers' initiatives. As one of North America's top 10 insurance focused IT services firms, leading insurance and financial services companies trust ValueMomentum with their digital, data, core, and IT transformation initiatives

Who We Are:

PureSpectrum is a rapidly growing market research and insights platform. We simplify technology for researchers so they can gather and use consumer data the way they want – without disruption.

PureSpectrum currently facilitates more than 65 million online interviews annually through our Marketplace. PureSpectrum also developed the industry’s first and only respondent-level scoring system, PureScore. Most recently, PureSpectrum was recognized across the industry: Certified Great Place to Work ), Built In's Best Places to Work ), Inc Best Workplaces (2023), Newsweek's Global Most Loved Workplaces ), Deloitte's Fast - 2023). PS is rapidly becoming the leading solution for quality multi-sourcing, as well as end to end automated research solutions.

The Opportunity:

PureSpectrum is looking for a Data Analyst who will be responsible for product-related analyses, reporting, and insights. The Data Analyst will be working in a fast-paced environment within the Analytics and Data Science organization and will report directly to the VP – Analytics and Data Science. The ideal candidate is highly analytical, intellectually curious, detail-oriented, and should be comfortable working closely with individuals across the global enterprise, as well as with technology partners and vendors. This position reports directly to a senior member of the Product leadership team.

Location: Hyderabad, India - 3 days in office requirement

Your Responsibilities:

• Understand business issues, formulate and test hypotheses using appropriate statistical methods, and create Proof-of-Concept (POC) models
• Manage full lifecycle of analytics projects including mining, cleaning and transforming data from multiple databases/collections to design and execution
• Partner with the engineering team to create new data pipelines, develop dashboards and reports, leveraging data visualization and other tools
• Coordinate with functional teams to prioritize workflow, triage and resolve data consistency and quality issues
• Communicate ideas, analyses, and results effectively, both verbally and in writing, to technical and non-technical audiences.
• Proactively identify any potential issues/questions regarding the integrity of data and suggest resolutions to Data Management teams

Qualifications:

• Bachelor’s degree required with 3 years or more of hands-on experience in Data Analysis or Master’s Degree in Quantitative Economics, with one year or more of hands-on experience.
• Experience in big data environments such as AWS
• Experience with internal and external relationship management, partner presentations, and quantitative data analysis.
• Experience with analytical tools and programming languages such as Python, R, SAS
• Prior experience with report and dashboard design
• High proficiency in Excel with strong analytical and mathematical capabilities.
• Exposure to API integrations and customized applications.
• Familiarity with databases and BI tools (e.g. SQL, mongoDB, QuickSight, Tableau, Microsoft Power BI)

PureSpectrum Perks:

PureSpectrum is continuously focused on our culture, which is rooted in innovation, connection, and providing a great experience at all business levels —what we like to call PSX. Our team enjoys a creative and collaborative environment with plenty of opportunities for fun, connection, and team celebrations.

• Team events and celebrations.
• Employees enjoy casual dress and fun within a professional team environment.
• We believe in supporting our team both personally and professionally—empowering you to thrive inside and outside of work.

PureSpectrum is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited under the law.

Job Title: Data Analyst

Experience: 3-6 Years

Location: Hyderabad, India

Employment Type: Full-time

Note : Looking for Immediate - 30 Days Joiners Only

About NationsBenefits:

NationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. We specialize in supplemental benefits, flex cards, and member engagement solutions. Partnering with managed care organizations, we offer innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and deliver value to members.

Through our comprehensive suite of supplemental benefits, fintech payment platforms, and member engagement solutions, we enable health plans to provide high-quality benefits that address social determinants of health, ultimately improving member health outcomes and satisfaction.

We offer a dynamic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. Our goal is to transform the healthcare industry for the better! We provide opportunities for career advancement across multiple locations in the US, South America, and India.

Position Overview:

As a Data Analyst, you will be responsible for the Requirement Gathering, Data Analysis, Development and implementation of Automated data reporting solutions to support our organization's data driven initiatives to ensure data accuracy and enable data-driven decision making across the organization. The ideal candidate will possess a minimum of 3-7 years of hands-on experience in data Analyst on high performing teams. Expertise in DBT, Airflow, SQL, Python, Reporting Tools, Automation, Validation is a must and knowledge of Databricks is addon.

Key Responsibilities:

• 3 to 6 years of hands-on experience using DBT, Airflow, Python,

Reporting Tools and SQL as Data Analyst Preferred from

Healthcare & Fintech Domain having Automation First Mindset.

• Hands-on experience with Data Collection, Data Analysis, Data modeling, Data validation, Data Presentation using DBT, Airflow, SQL, Python, Reporting Tools (Tableau )
• Data Modeling: Create and maintain data models, data dictionaries, and documentation to support efficient data analysis and reporting.
• Performance Optimization and Automation: Continuously monitor and optimize reporting solutions and Automate Current Reporting for efficiency. Debugging DAG failures and fixing them.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand their data needs and deliver solutions.
• Data Quality Assurance: Implement data validation and cleansing processes to ensure data accuracy, consistency, and reliability.  Automation: Automate existing Manually generated reports using tech stack.
• Ad hoc Data Analysis and Reporting/Dashboard Development: Perform exploration data analysis, develop data visualizations, and generate actionable insights to support business decisionmaking.
• Stay Current: Stay up to date with emerging trends and technologies in data engineering and analytics, and make recommendations for their adoption.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Minimum 3+ years of hands-on experience using DBT. Airflow, SQL, Python, Automation
• Expertise in building Automated Data Reports and Dashboards using SQL, Python, Reporting Tools
• Strong Debugging and Automation skills
• Strong understanding of DWH/Data Lake concepts and methodologies.
• Experience with cloud platforms such as Azure, AWS or GCP
• Excellent communication, Presentation and interpersonal skills
• Excellent problem-solving skills and attention to detail
• Knowledge of data quality, data Validation, data security and compliance standards is a plus.

Job Description

SN Required Information Details

1 Role Teradata Database Analyst

2 Required Technical Skill Set Teradata SQL ,Informatica PowerCenter, Unix

3 No of Requirements 5

4 Desired Experience Range 3-9 years

5 Location of Requirement Hyderabad

Desired Competencies (Technical/Behavioral Competency)

Must-Have Teradata SQL

Good-to-Have Knowledge of Unix shell scripting, Informatica and CA7.

SN Responsibility of / Expectations from the Role

1 Analyze and resolve highly problems of medium to high complexity.

2 Use database/ system management tools proficiently.

3 Monitor and tune existing databases of medium complexity and moderate business exposure.

4 Investigate, troubleshoot, and resolve database problems.

5 Provide general technical support to Services and Development groups.

6 Analyze and resolve highly problems of medium to high complexity.

Role overview:

Blue Spire is looking for a Data Analyst to join our growing data team. The ideal candidate will

play a key role in ensuring the authenticity, integrity, and usability of data from diverse sources.

You will work closely with data scientists and business stakeholders to transform raw data into

actionable insights, support solution implementation, and drive data-driven decision-making.

Key Responsibilities:

• Perform data profiling across data lakes, files, and other data sources to ensure quality

and usability.

• Ensure data authenticity, integrity, and reliability across all datasets.
• Collaborate with data scientists and business stakeholders to understand business requirements and provide guidance on solution implementation.
• Collect and integrate data from multiple sources including databases, APIs, and third party platforms.
• Clean, pre process, and standardize data, handling missing values, correcting errors, and ensuring consistency.
• Structure and transform raw data into usable formats for analysis and modeling.
• Prepare datasets for modeling, including splitting into training and testing sets and maintaining quality standards.
• Conduct exploratory data analysis (EDA) to understand data distributions, correlations, and anomalies.
• Apply statistical techniques to identify trends, patterns, and insights that support decision-making.

Qualifications:

• Graduate in Statistics, Mathematics, Computer Science or MBA in Data Science / Business Analytics.
• Strong understanding of data profiling, cleaning, and preparation techniques.
• Proficiency in SQL, Python, or R for data analysis and preprocessing.
• Familiarity with data visualization tools (e.g., Power BI, Tableau, matplotlib, seaborn).
• Knowledge of statistical methods and machine learning basics is an advantage.
• Strong communication and problem-solving skills with ability to collaborate across teams.

Company Description

Pay Phone Concepts is a human resources company based in Junction City, Kansas, United States. The company offers a range of HR solutions tailored to meet the unique needs of businesses. Focused on providing high-quality services, Pay Phone Concepts ensures operational efficiency and employee satisfaction.

Role Description

This is a full-time, on-site role for a Data Analyst located in Hyderabad. The Data Analyst will be responsible for conducting data analysis, creating data models, and performing statistical calculations. Daily tasks include gathering and interpreting data, preparing reports, and presenting findings to stakeholders. Effective communication with team members and clients is essential.

Qualifications

• Strong Analytical Skills and expertise in Data Analytics
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills
• Experience in using data analysis tools and software
• Ability to work collaboratively in a team setting
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field

Role & responsibilities

You are responsible for the development, deployment and continuous improvement of business processes, data analysis and reporting. This position will provide actionable insights for the Customer Success organization and external stakeholders.

Preferred candidate profile & Desired Skills:

• 5+ years of experience in a Data Analyst or similar Business Intelligence role
• Experience with building reports and dashboards in BI tools
• Basic understanding of Marketing (B2B is a plus)
• Expertise in SQL is a must
• Python for Data Manipulation
• Good to have experience on Looker Studio and Sigma
• Good understanding of Basic Stats
• Knowledge of Data Management

Responsibilities:

• Strong analytical and problem-solving skills with attention to detail
• Hands-on experience building customer facing reports and dashboards with the Looker platform and other BI tools
• Ability to break a business problem into consumable/actionable Analytical solution
• Work with different stakeholder/department/cross-functional product teams to accomplish the task
• Ability to master the data from business lens
• Understands how to use semi-structured and unstructured data
• Ensure Data Accuracy and Quality
• Develop new KPIs if required
• Develop specs and proposals for new tables and datasets that would enhance analysis and reporting for the business
• Should conduct a detailed Exploratory data analysis on any given data and Ad-hoc basics
• Work confidently and independently to generate insights (The Why part) and story telling

About Us: At Data Unveil
, we are committed to delivering the best for our clients—primarily leading pharmaceutical companies. Leveraging the latest technologies and tools, we aggregate and analyze specialty healthcare data from various trusted partners. Our goal is to provide clear, hassle-free business insights that empower our clients to sharpen their vision and drive business success.

Position Title: Data Analyst

Location: Hyderabad, Telangana.

Hire Type: Full Time, on-site.

Start Date: Immediate.

Job Summary:
We seek a highly analytical and detail-oriented individual to join our team as a Data Analyst. The successful candidate will interpret data, analyze results, and provide insights to support decision-making across various departments. The ideal candidate should possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex findings effectively.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and correlations.
• Develop and maintain reports, dashboards, and visualizations to present key insights to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Conduct ad-hoc analysis to address specific business questions and challenges.
• Identify opportunities for process improvement and efficiency gains through data analysis.
• Stay updated on industry trends and best data analytics and visualization practices.
• Communicate findings and recommendations to technical and non-technical audiences through written reports and presentations.

Requirements:

• Bachelor's degree in mathematics, Statistics, Computer Science, or a related field.
• Proven experience as a data analyst or in a similar role, with a strong track record of delivering actionable insights.
• Proficiency in SQL for data manipulation and extraction.
• Experience with statistical analysis tools.
• Strong analytical and problem-solving skills, with the ability to work with large datasets.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members at all levels of the organization.
• Detail-oriented, organized, and able to manage multiple projects simultaneously.
• Experience working with cloud-based data platforms such as AWS or Azure is desirable.

The Data Analyst serves as an analytics specialist in the business, focusing on the management of data from various sources and providing data-driven insights to relevant departments. In this position, the Data Analyst gains exposure to almost all departments of the business, inclusive of data warehousing, product management, product development, marketing, account management, and IT among others. The Data Analyst aids by providing various departments with data analysis, reporting, and dashboard solutions that will enable the achievement of the business's overall goals.

• Lead the day-to-day activities of the Data Analytics department, managing deliverables, project timelines and reports development
• Support and work with various department stakeholders to review and collect reporting requirements through workshops, interviews, document analyses, surveys, use cases, business process descriptions and workflow analysis.
• Identify, analyze and interpret trends and patterns in complex datasets, drawing insights that will aid the business in data-driven decisions.
• Validate, interpret, create analyses and present results to department heads and relevant stakeholders with clarity and conviction.
• Implement analytical models into production and operationalize by collaborating with product engineering teams and application support teams in an agile/devops model.
• Support the continuous learning activities for a global data analytics community, spanning across locations and business functions

Qualification:

• Bachelor's degree in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field. An equivalent of this requirement in working experience is also acceptable for the position.

Skills:

• Proven and successful understanding of how to interpret a business's needs and how to draw these needs from analysis or raw information and data.
• Experience in project management methodologies in an agile environment
• Expert with data visualization tools, such as PowerBI, DataStudio, Looker etc
• High Proficiency in using query languages such as SQL, Big Query
• Experience with Big Data tools like BigQuery, Databricks, Azure Synapse
• Proven and successful understanding of how to interpret a business's needs and how to draw these needs from analysis or raw information and data.
• Experience in project management methodologies in an agile environment
• Expert with data visualization tools, such as PowerBI, DataStudio, Looker etc
• High Proficiency in using query languages such as SQL, Big Query
• Experience with Big Data tools like BigQuery, Databricks, Azure Synapse
• Excellent communication skills and a Data-oriented personality
• 3+ years of working experience in data analyst or data warehousing position in a fast-paced and complex business setting.