73 Data Analyst jobs in Aurangabad
Data Analyst
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Company Description
At SAAGA Solve, our intelligent agents handle the complex tasks of gaining visibility on search and social media, allowing established businesses and growing startups to concentrate on innovating, building, and serving their customers. We specialize in managing the intricate aspects of marketing so our clients can focus on what they do best. Our mission is to enable businesses to reach their full potential without the burden of extensive marketing efforts.
Role Description
This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights. Day-to-day tasks include data modeling, conducting statistical analyses, and communicating findings to relevant stakeholders. The role requires a collaborative approach to work closely with various departments to support data-driven decision making.
Qualifications
- Strong Analytical Skills and proficiency in Data Analytics
- Experience with Statistics and Data Modeling
- Excellent Communication skills for presenting data findings
- Proficiency with data analysis tools and software (e.g., Excel, R, Python, SQL)
- Ability to work independently and remotely
- Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science)
- Experience in the marketing or technology industry is a plus
Data Analyst
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Job Summary
Moris Media is seeking a detail-oriented and proactive Data Analyst to join our dynamic team. In this role, you will leverage advanced analytical skills to uncover actionable insights, drive informed decision-making, and support strategic initiatives across marketing and business development functions. The ideal candidate will have a strong background in data interpretation, visualization, and storytelling, with a passion for translating complex datasets into clear recommendations. If you excel at uncovering trends and creating data-driven solutions that impact growth, we welcome your expertise and invite you to contribute to our culture of innovation and continuous improvement.
Primary Responsibilities
• Identify and analyze market trends, consumer behavior, and business performance metrics to support strategic planning.
• nterpret complex datasets to uncover actionable insights and recommend strategies for growth.
• D velop, maintain, and optimize reports, dashboards, and data visualizations to communicate findings effectively.
• C llaborate with cross-functional teams to define key performance indicators and reporting requirements.
• C nduct ad hoc analyses to support marketing campaigns, product development, and sales initiatives.
• E sure data accuracy and integrity through systematic validation and quality checks.
• P epare clear presentations and reports that translate data into compelling narratives for stakeholders.
• U ilize statistical techniques to evaluate campaign effectiveness and business outcomes.
• S pport automation of data collection, reporting processes, and workflow improvements.
• M intain a strong understanding of Moris Media’s services and offerings to align analysis with business objectives.
Primary Skills
• Adv nced proficiency in data analysis tools and software, including SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI).
• S rong analytical and critical thinking skills with the ability to interpret and present data clearly.
• E cellent communication and interpersonal skills to engage effectively with stakeholders and clients.
• E perience with statistical modeling and forecasting techniques.
• H gh attention to detail and a commitment to data accuracy.
• A ility to manage multiple projects and deadlines in a fast-paced environment.
• F miliarity with marketing analytics and CRM platforms is a plus.
Qualifications
• B chelor’s degree in Data Science, Statistics, Business, Marketing, or a related field.
• Rel vant certifications in analytics or data visualization are desirable.
• S rong record of working collaboratively with cross-functional teams.
Experience
• 1 3 years of experience in data analysis, preferably within marketing, media, or technology sectors.
If you feel your skills and experience align with this opportunity, we encourage you to apply through or directly via our official careers page at:
Data Analyst
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Hi,
We are hiring for Data Analyst,
Job Title: Data Analyst
Role Requirements & Responsibilities :
The need for a sales strategy and operations associate with 4+ years of data-related experience, focusing on reporting, dashboarding, data analysis, and operational support for new business projects in the India region.
Advanced Excel and intermediate-to-advanced SQL are essential, with experience in Tableau/Power BI and CRM (preferably Dynamics or Salesforce) as advantages.
The role includes data quality management, territory/account operations, and providing actionable insights to leadership.
Preferred Background & Tools : Experience with SaaS companies is preferred but not mandatory. Familiarity with Microsoft Office Suite is required. Power BI/Tableau skills are good to have but not essential, as dashboards can initially be built in Excel.
Day-to-Day Activities : The role involves weekly, monthly, and quarterly reporting, dashboard development (especially in the first few months), CRM data quality improvement projects, validation exercises, funnel conversion, and market opportunity analysis.
Clarifications Provided :
- "White space analysis" refers to new business acquisition and is an internal term.
- CRM experience is preferred but not mandatory; SQL, Excel, and data analytics are the core requirements.
- Power BI/Tableau usage is limited; dashboards can be created in Excel if needed.
Looking for Immediate joiner
Data Analyst
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About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.
About the Internship:
As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.
Key Responsibilities
As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Your primary responsibilities will include:
Data Collection & Processing
- Gather data from various sources and databases
- Clean and pre-process data to ensure quality and usability
- Develop and maintain data pipelines
- Implement data validation procedures and quality checks
Data Analysis & Modelling
- Apply statistical methods to interpret datasets
- Identify patterns, trends, and correlations in complex data
- Develop predictive models and conduct hypothesis testing
- Create data-driven solutions for business problems
Data Visualization & Reporting
- Create interactive dashboards and visual reports
- Develop compelling data visualizations to communicate findings
- Present analytical insights to stakeholders
- Automate regular reporting processes
Business Intelligence
- Transform raw data into actionable business insights
- Support decision-making processes with data-backed recommendations
- Monitor key performance indicators and metrics
- Identify opportunities for process optimization
Capstone Project
- Complete an end-to-end data analysis project including: Problem definition, Data collection and preparation, Analysis and modelling, Visualization of results, and Recommendations based on findings
What You Will Learn
- Practical experience with data analysis tools and techniques
- Hands-on skills in data visualization and dashboard creation
- Strong analytical and problem-solving abilities
- Effective communication of technical findings to non-technical audiences
- Knowledge of AI and machine learning applications in data analytics
Who Should Apply?
- Student or fresh graduate from any academic discipline
- Strong analytical and quantitative skills
- Basic knowledge of data analysis tools (Excel, SQL, Python, or R)
- Interest in working with data and deriving insights
- Willingness to self-learn and work in a fast-paced environment
Internship Details
- Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.
- Type: Unpaid
Data Analyst
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At WebBuddy, we're your trusted partner in shaping your online presence. With a team of expert developers, creative designers, and strategic thinkers, we've been transforming ideas into digital realities for clients across the globe. Our mission is to deliver top-notch, customized web solutions that drive business growth. With hundreds of successful projects and delighted clients in the US, UK, Canada, and Australia, we ensure our clients stay ahead in their digital game. Proudly, we are TechBehemoths Award Winners for Top Artificial Intelligence Company.
This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for analyzing complex data sets, building and maintaining data models, and interpreting data to drive business solutions. Day-to-day tasks include developing reports, performing statistical analysis, and communicating insights to stakeholders. The role also involves using data analytics tools to identify trends and patterns that can inform strategic decisions.
- Strong Analytical Skills and Data Analytics experience
- Proficiency in Statistics and Data Modeling
- Excellent Communication skills for presenting findings
- Experience with data visualization tools is a plus
- Ability to work independently and remotely
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
Data Analyst
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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 (2022-2024), Built In's Best Places to Work (2023-2024), Inc Best Workplaces (2023), Newsweek's Global Most Loved Workplaces (2023-2024), Deloitte's Fast 500 (2020- 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 Benefits:
We offer a competitive compensation and benefits package including well-covered health insurance, PF, etc.
- Leave policy provides for casual, sick, and vacation leaves, which adhere to statutory compliance needs.
- Team events and celebrations.
- Employees enjoy casual dress and fun within a professional team environment.
Data Analyst
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Job Description for Data Analyst:
• Data collection and Analysis
• Conduct research to gather data on industry trends, market conditions, and competitor activity (their Tenders, Department and others)
• Use historical data to forecast potential outcomes, assess risks, and support decision-making processes.
• Exposure in checking Import and Export data on various websites.
• Scrutinizing information using data analysis tools
• Using advanced computerized models to extract data
• Collaborating with the heads of specialist departments in a company and defining data analysis goals
• Collecting and selecting both structured and unstructured data from internal and external sources
• Providing quality assurance of any data that has been imported
• Managing master data
• Developing data collection systems
• Removing any corrupt data
• Identifying and correcting errors in the data collection
• Creating reports based on analysis and presenting it to management
• Providing technical expertise in data storage structures Preferred Skills:
• Experience with tender management software and databases.
• Knowledge of financial modeling and cost analysis.
• Familiarity with market research techniques and methodologies
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Data Analyst
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Quantum OOH™ transforms parked vehicles in heavy traffic sites into high demand and low Out-of-Home supply areas by utilizing our patented system and the gig economy.
Role Description
This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights. Day-to-day tasks include data modeling, conducting statistical analyses, and communicating findings to relevant stakeholders. The role requires a collaborative approach to work closely with various departments to support data-driven decision making.
Qualifications
- Strong Analytical Skills and proficiency in Data Analytics
- Experience with Statistics and Data Modeling
- Excellent Communication skills for presenting data findings
- Proficiency with data analysis tools and software (e.g., Excel, R, Python, SQL)
- Ability to work independently and remotely
- Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science)
- Experience in the marketing or technology industry is a plus
Data Analyst
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Title: Data Analyst
Location: REMOTE
Contract Position
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience in data analytics or data engineering roles.
• Understand Supply Chain business processes.
• Experienced in working on Analytics related projects and implementation.
• Good exposure to SAP ERP systems like ECC or S/4HANA
Candidates MUST be fluent in English, big requirement.
Role Profile: Business Analyst – Data Analytics
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Role Summary:
We are seeking a highly skilled and detail-oriented Functional Engineer with expertise in data analytics platforms, particularly SAP HANA and Snowflake. This role will play a critical part in the migration of enterprise data solutions from HANA to Snowflake, ensuring business continuity, data integrity, and performance optimization. The ideal candidate will bridge the gap between business requirements and technical implementation, working closely with data architects, developers, and business stakeholders.
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Key Responsibilities:
• Work with business stakeholders to understand and collate the analytics and reporting requirements.
• Analyze and conduct feasibility studies of the requirements.
• Collaborate with the capabilities team to Identify the source systems, source data set, source tables needed to fulfil the requirements.
• Convert the functional requirements to technical solution.
• Create detailed business requirement documents (BRD) and functional design document Collaborate with data modeler and data engineers to develop the technical solution. (FD).
• Perform Functional Unit Testing of the solution.
• Support Business teams for completion of User Acceptance Testing.
• Facilitate communication between business and IT.
• Support deployment of technical solution to production.
• Identify continuous improvement opportunities.
• Ensure data quality, consistency, and performance in the new Snowflake environment.
• Work with cross-functional teams including data engineers, BI developers, and business analysts.
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Required Skills and Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience in data analytics or data engineering roles.
• Understand Supply Chain business processes.
• Experienced in working on Analytics related projects and implementation.
• Good exposure to SAP ERP systems like ECC or S/4HANA
• Understand data modelling concepts (HANA Modelling would be added advantage).
• Ability to identify relationship between data sets.
• Exposure to SQL queries and ability to query data for analysis/troubleshooting.
• Exposure to BI reporting tools
• Excellent communications skills, written and verbal.
• Strong analytical and problem-solving skills.
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Preferred Qualifications:
• Experience with cloud platforms.
• Knowledge of BI tools (e.g., Power BI).
Data Analyst
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Job Summary:
We are currently hiring for a Data Analyst who can find clarity in chaos and stories in spreadsheets. If you enjoy asking questions that numbers can answer—and more importantly, knowing which questions are worth asking—you might enjoy this ride. The ideal candidate is someone who sees data as more than just rows and columns. You enjoy patterns, challenge assumptions, and make decisions easier for everyone else, all while keeping your formulas intact.
Primary Responsibilities:
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• ork closely with cross-functional teams to define metrics and extract relevant insights.
• I entify trends, anomalies, and opportunities through data exploration.
• D velop dashboards, visualizations, and performance tracking tools.
• A sist in forecasting, budgeting, and data-driven business planning.
• E sure data accuracy, consistency, and integrity across platforms.
• T ansform raw data into actionable insights and digestible formats for stakeholders.
• D cument processes, workflows, and data definitions clearly.
• P esent findings with clarity to both technical and non-technical audiences.
• C ntribute to data-driven decision-making at all levels of the organization.
Primary Skills:
• P oficiency in SQL and data querying languages.
• H nds-on experience with Excel, Power BI, or Tableau for reporting and visualization.
• S rong foundation in statistics and data modeling.
• F miliarity with Python or R for data analysis (bonus points).
• U derstanding of data warehousing and data cleansing techniques.
• A tention to detail and ability to spot inconsistencies.
• G od communication skills and an analytical mindset.
Qualification:
• B chelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• Rel vant certifications in data analytics or visualization tools are advantageous.
Experience:
• 1 3 years of experience in data analysis, reporting, or business intelligence roles.