312 Data Analyst Jobs - Page 3

We are looking for a Data Analyst Intern who is passionate about working with data and deriving insights that drive business decisions. The ideal candidate should be proficient in Power BI, Excel, and other analytical tools as needed. Understanding of data visualization, ETL processes, and business intelligence concepts. This role offers an opportunity to work closely with cross-functional teams, analyse key metrics, and contribute to data-driven strategies at Smytten. Key Responsibilities: Collect, clean, and analyse large datasets to derive actionable insights. Create interactive dashboards and reports using Power BI to visualize key performance metrics. Utilize advanced Excel functions (Pivot Tables, VLOOKUP, Macros, etc) for data manipulation and analysis. Assist in monitoring key business KPIs and reporting trends. Work with different teams (Marketing, Product, Sales) to support data-driven decision-making. Automate data reporting processes to improve efficiency. Stay updated with new analytical tools and techniques to enhance Smytten s data capabilities. Required Skills & Qualifications: Knowledge of DAX (Power BI) and data modelling is an advantage. Strong analytical and problem-solving skills with a keen eye for detail. Prior experience with e-commerce, consumer analytics, or digital marketing analytics is a plus. Ability to interpret data and generate actionable business insights. Strong communication skills to present findings effectively. Comfortable working in a fast-paced, data-driven environment. bachelors degree (or currently pursuing) in Data Science, Analytics, Engineering, Mathematics, or a related field .

Job Description Job Purpose The Data Analyst, Market Data will join the Master Data Management team within Intercontinental Exchange (ICE). The Master Data Management team is responsible for building and maintaining corporate company-wide data uniformity. This position will be responsible for managing high-level data sets (Business Entity, Client Segmentation, Contact Data, etc. ) and onboarding new acquisitions on schedule. The successful candidate will work on new and existing projects in close collaboration with teams that include Data Warehouse, Sales, Finance, and internal stakeholders. The analyst must be results-oriented, self-motivated and can thrive in a fast-paced environment. The candidate must have the ability to work independently; must have excellent verbal and written communication skills; must have excellent organizational skills. Responsibilities Analyse various levels of client specific information and to ensure that it is populated into the database of record in an accurate, complete, and timely manner. Document requirements clearly and concisely for each project being undertaken. Assist in evaluating information gathered from multiple sources, reconciling conflicts, and determining best path forward. Perform changes to master data following established processes including but not limited to create, change, activate/deactivate or otherwise modify master data. Identify areas for data quality improvements and help resolve data quality problems through the appropriate procedures or improvements. Utilize Salesforce, OBIEE, and Capital IQ to reconcile data outputs. Work closely with other team members and cross-functional team members. Standard office hours include 1:00 PM IST to 10:00 PM IST (UK Shift) Candidate should be flexible for US shifts for any future requirements Knowledge and Experience Post graduate degree (preferably MBA Finance) or bachelor s degree with equivalent combination of education and experience. 3+ Years of Experience in Secondary research which involves summary, collation, and synthesis of existing research. Experience in Excel and database technologies including pivot tables, Visual Basic/SQL query writing. Excellent communication skills. Position must communicate clearly, respectfully, and effectively with many different types of people and departments across the firm. Strong knowledge and understanding of the Financial Markets Data. Strong Analytical and problem-solving skills. Exceptional organizational skills and ability to manage multiple tasks and priorities. Excellent attention to detail and high degree of demonstrated decision-making and problem-solving skills. Must possess the ability to influence others. Ability to distill large amounts of varied information into specific takeaways.

DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: (WFO) Bestech Towers (Sector 66-Mohali) Position: Data Analyst Experience: 1-3 years Why to Join ALARIC VENTURES • Known as career builders and paymasters. • Best and unbeatable benefits for the employees. • Effective career and financial progression system. • Most organic and friendly work environment. • Plethora of success and growth stories. Position Overview: We are seeking a Data Analyst specializing in data mining and research to support our AI services business. The ideal candidate will focus on identifying potential clients in the US and India with a turnover exceeding $250 million. Using advanced tools and techniques, they will extract critical contact information, such as direct phone numbers and email IDs of key decision- makers like CXOs, to enable outreach and business growth Required skills: • Conduct research on companies with a turnover of $250M+ in the US and India. • Focus on companies selling or investing in AI services. • Extract accurate contact information, including direct phone numbers and email addresses of CXOs and other key decision-makers. • Use tools like Sales Navigator, ZoomInfo, Lusha, Google, and others for prospecting and lead enrichment. • Identify companies that align with the parameters and criteria provided by the organization. • Ensure high accuracy and relevance of data by cross-verifying details. • Maintain detailed records and create organized databases for internal teams. • Generate reports on lead generation progress and research findings. • Analyze trends and opportunities in the AI services market for potential client targeting. • Identify emerging sectors and industries with significant AI adoption potential. • Work closely with the sales and pre-sales teams to align data mining efforts with outreach strategies. Share insights and trends that may impact targeting or sales approaches. Key Skills & Tools • Strong skills in researching and extracting information from multiple sources. • Familiarity with AI industry trends and major players. • Hands-on experience with Sales Navigator, ZoomInfo, Lusha, Google Advanced Search, and similar platforms. • Basic understanding of CRM systems (e.g., Salesforce, HubSpot). • Ability to analyze companies based on financial data, turnover, and business focus. • Attention to detail to ensure data accuracy. • Excellent written and verbal communication skills for internal reporting. • Ability to present findings clearly and concisely. Preferred Attributes • Experience in working with US-based or global clients. • Understanding of AI services and their application across industries. • Self-motivated and results-driven with a strong sense of accountability. Compensation and Benefits • Salary: Open to negotiation based on experience and expertise. • Performance-based bonuses. • Opportunities for skill enhancement and career growth. • Flexible work environment. Education and/or Experience: • Any bachelors degree • 1-3 years of relevant experience Client Service: • Provide outstanding client service, responding promptly and professionally across communication channels. • Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: • Rotational shifts (24*7) • 5 Days working in a week Benefits and compensation: • Group Health insurance • Best work culture and opportunities for professional growth. • Learning opportunities in leading technologies • Compensation as per Market Standard • Training and development programs. Application Process • If you are a detail-oriented data analyst passionate about research and data mining, we want to hear from you. Please submit your resume and a cover letter showing your experience and expertise on M-9915101769

Overview This role combines the expertise of a Data Analyst with the leadership and project management skills of a Technical Program Manager. The Data Analyst & TPM will be responsible for collecting, analyzing, and interpreting data to drive informed decision-making, while also managing technical programs from initiation to closure, ensuring successful delivery and meeting project objectives. Primary Responsibilities: Initiate, plan, execute, monitor, and close cross-functional technical programs. Develop and manage program roadmaps, timelines, and budgets. Identify and manage program risks and issues. Communicate program status and progress to stakeholders. Collaborate with technical teams to ensure successful program delivery. Conducting and facilitating Scrum events like Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective. Ensuring these events are productive and adhere to Scrum guidelines. Keeping meetings on time and focused. Helping the team improve their self-organization and self-management. Fostering an environment of open communication and collaboration within the team. Collaborating with the Product Owner to ensure the product backlog is prioritized and refined. Helping the team define and maintain quality standards. Ensuring that deliverables are up to quality standards at the end of each Sprint. Qualifications Skills and Experience: Knowledge of Scrum and Agile Methodologies Strong Communication and Facilitation Skills Conflict Resolution Skills Problem-Solving Skills Leadership and Coaching Skills Organizational Skills Empathy and Interpersonal Skills Ability to Work Independently and as Part of a Team Experience with project management methodologies (e.g., Agile, Waterfall). Excellent communication, presentation, and interpersonal skills. Ability to work independently and as part of a team.

Data Analyst Trainer & Executive - Kochi - Finprov Learning Data Analyst Trainer & Executive Kochi Job Description Data Analyst We are looking for a Data Analyst who will be responsible for conducting data analysis and delivering insightful reports while also training students and internal trainers. The ideal candidate should have strong analytical skills, a passion for teaching, and the ability to translate complex data into actionable insights. Key Responsibilities Design and develop training materials, case studies, and real-time projects for Develop structured Train the Trainer (TTT) programs to train internal trainers on data analytic tools and methodologies. Conduct hands-on training sessions for students on topics related to data analytics and data visualization and make them capable to indepenedently perform tasks. Continuously update training materials to incorporate the latest tools, technologies, and best practices in data analytics. Use engaging teaching methods, such as case studies, group discussions, and hands on exercises, to enhance student understanding and retention. Data Analysis & Reporting Develop and maintain dashboards, reports, and visualizations using tools like Excel, Power BI, or Tableau to provide meaningful insights for business decisions. Work with cross-functional teams to understand business needs and translate them into actionable data insights. Continuously monitor and analyze operational data, highlighting critical trends and areas requiring management attention. Generate and present periodic reports (daily, weekly, monthly) to management on key business metrics and performance trends. Skills & Qualifications Bachelor s or Master s degree in any field, preferably commerce. Strong knowledge of SQL, Excel, Power BI, Tableau, Python, or R. Proven experience in data analysis, visualization, and reporting. Passion for upskilling and mentoring students and trainers. Fluency in Malayalam and English. Door No -514, Finprov, 1, Ponnurunni-Chalikkavattom Rd, Vyttila, Ernakulam, Kerala 682019.

Greetings of the day ! Our reputed MNC Client is hiring for Data Analyst role: Location: Hyderabad Shift: General Work Mode: Work From Office Notice Period: 0 - 45 days (Plz don't apply if your notice period is more than 45 days) Key Responsibilities: - Generate insights and analyze brand performance using various data sources - Develop and maintain reports to assess business performance and identify trends - Provide strategic recommendations on promotional marketing initiatives - Collaborate with cross-functional teams to achieve objectives - Manage projects and ensure timely implementation Requirements: - 2-3 years of relevant experience in data analytics - Proficiency in Microsoft Office, Excel, Power BI, and SQL. -Candidates should be from FMCG industry Warm Regards, Gayatri Kumari Email Id: gayatri@v3staffing.in V3 Staffing Solutions

Fresher Fresher, HR, Recruitment, Excel, Hiring, MBA, Marketing, BPO, Calling Recruitment Office Coordinator Operation Receptionist Recruitment Hiring IT Recruitment Joining Offer Letter Naukri Portal Sales Counselling HR Intern

We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Soft Skills Required ? Must be a good team player with good communication skills ? Must have good presentation skills ? Must be a pro-active problem solver and a leader by self ? Manage & nurture a team of data engineers

Dear Candidate, One of our leading IT MNC Clients is looking for Data Analyst & Data Modeler on Immediate basis. Role: Senior Data Expert (Data Analyst & Data Modeler) Exp.: 8 12 Years Location: Hyderabad / Pune Mode of Work : WFO Skill: Datamodeler, SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable). In this role, you will: Support the delivery of complex transformation program development within data portfolio. Work within agile multi-skilled teams to create world class products to serve our customers needs. Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution. Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products. Understand the "user" journey end to end which goes beyond the "system”. Provide advanced business knowledge and technical support for requirements development. Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations. Create and maintain the data models. Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc. To be successful in this role, you should meet the following requirements: Strong Data Analysis and/or Data Modeling experience of 8-12 years. Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping. Should be an individual contributor with good understanding of the SDLC & Agile methodologies. A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment. Excellent communication & stakeholder management skills and should be capable of building rapport and relationships. Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects. Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable). Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid. If Interested, Send CVs to anji.g@kanarystaffing.com

-Must have excellent verbal and written communication skills. -Ability to manage priorities and the ability to interact with all levels within the development organization. -Knowledge Of Excel required. -Knowledge of HTML an added advantage -Excellent analytical skill and logical reasoning. Andheri East-Mumbai -Work closely with development, product management, and various other teams to deliver high-quality job data. Any.

Job Description: Interacting with Business Users/ Business Relationship Managers to understand the BI and analytical needs Identify the right data sources / data completeness to meet the BI needs Data profiling to build the entity relationships across multiple sources Develop and maintain data dictionary for all the data sources (existing and new ones) Build conceptual and logical data models considering the BI needs Develop optimized database design to achieve acceptable performance by tuning views, tables for proper response time Work with database administrators to implement data models into database platforms, ensuring data integrity and consistency Monitor database performance, identify bottlenecks, and optimize data models to improve query efficiency and data access speed Work closely with the IT teams in ETL design discussions adopting best practices of data load strategy Identify effective reporting techniques, identify the best data sources for each report, identify risks and constraints, and design reporting formats Create and maintain metadata describing the data model, including data lineage and definitions Data analyst skills to determine root cause problems for data integrity and data quality issues identified through QA or by business report owners Define data storage strategy

Job Location : Pitampura - Delhi Mode of Working : WFO/Hybrid Job Summary We are looking for a detail-oriented and proactive ESG Data Analyst to join our data operations team. This role plays a critical part in supporting our ESG initiatives by collecting, validating, and uploading data to a secure cloud platform. The ideal candidate will work with diverse data sources, including sample analyses to ensure data accuracy, consistency, and integrity. Your contributions will directly support sustainability reporting, regulatory compliance, and broader ESG research efforts. Key Responsibilities Collect and compile environmental data from reliable online and offline sources. Analyze and validate data from surveys, reports, and research samples. Upload accurate and structured data onto the Live Portal. Perform regular quality checks to ensure data integrity. Maintain records and documentation of data sources and activities. Support the team in environment-related research and reporting tasks. Skills & Qualifications Required Educational Background: Graduate in Commerce or Science (with English Medium Schooling). Experience: 1-2 years of experience in ESG Analyst/ Back-office or Research role. Research Skills: Strong interest and ability in online data research. Computer Skills: Proficiency in MS Office (Excel). Communication: Excellent written communication skills in English. Other Skills Fast learner and detail-oriented. Ability to manage and prioritize tasks independently. Team player with a proactive attitude. Good Mathematical calculation skills. How to Apply To apply for this role, please upload your resume below, or email your CV along with your Contact Details, Current CTC, Expected CTC & Joining Time to our HR Team at

Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Requirements and skills Proven working experience as a Data Analyst or Business Data Analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

Job Descriptions Job Title- Data Analyst Location-PAN India Experience- 5- 10 Years Notice- Immediate Joiner Requirement:- Top 3 to 5 skillets / years of experience: Agile development/5-7 years Databricks, Python/5-7 yrs. Azure cloud Data Factory/5 yr. Data Validations/5-7 yrs. 1. 5 years of software solution development using agile, devops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions. 2. 5+ years of Data Analytics experience using SQL. 3. 5+ years full-stack development experience, preferably in Azure. 4. 5+ years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps, and Power BI. 5. 1+ years of FAST API experience is a plus. 6. Airline Industry Experience. 7. Skills, Licenses & Certifications. 8. Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers. 9. Azure Development Track Certification (preferred). 10. Spark Certification (preferred). If you are excited to grab this opportunity, please apply directly or share your CV at [HIDDEN TEXT] and [HIDDEN TEXT]

Mode of work: Hybrid Location: Bangalore Key skills: Data Analyst with strong stakeholder management, communication skills,requirement gathering, Python, Pyspark, SQL, Data Reporting, Visualization, Power BI & Tabulau and should have worked on data analysis and hands on coding in python and Pyspark. (Data Engineer profiles will not work). Assistant Vice President Business Consulting Experience: 812 years Location: Bangalore Key Responsibilities: Translate complex business problems into analytical solutions using data-driven approaches. Deliver high-quality insights and recommendations across BFSI domains. Lead end-to-end project management with a focus on efficiency and process enhancement. Design and implement data-centric solutions to support strategic decision-making across regions. Drive business value through proactive, self-initiated analytics projects. Leverage data to improve customer outcomes and operational performance. Leadership & Collaboration: Collaborate with cross-functional, global teams including business stakeholders, analysts, and engineers. Mentor junior team members and foster a collaborative, agile work environment. Ensure compliance with internal controls, risk management, and regulatory standards. Utilize tools like Jira, Confluence, and GitHub for agile project tracking and documentation. Technical Skills: Languages & Tools: Python, SQL, SAS, Excel, PySpark Visualization: Tableau, Power BI, Qlik Sense (preferred) Big Data & Cloud: Exposure to Hadoop, GCP, Azure, AWS (preferred) Certifications: Machine Learning, Predictive Analytics (preferred) Project Management: Agile methodology, Jira, Confluence, GitHub

We are looking for a driven and detail-oriented Data Analyst Intern to join our B2B team. The ideal candidate should have a strong command of Excel and a solid understanding of data handling, analysis, and visualization. Key Responsibilities: Clean, filter, and organize data to support business operations Build interactive dashboards and reports using Excel Use advanced Excel functions such as LOOKUPs, aggregate functions, etc Support the team with data-driven insights and reporting Collaborate with cross-functional teams to meet analytical requirements Requirements : Proficiency in Microsoft Excel (formulas, dashboards, data tools) Ability to present data clearly and effectively Attention to detail and problem-solving mindset Strong communication and collaboration skills Must be available to join immediately and work from our Bangalore office What you'll Get : Work closely with a fast-paced and impact-driven team Get hands-on experience with live projects Potential Pre-Placement Offer (PPO) based on performance Learn and grow in a high-performance environment

Any graduate/postgraduate (MBA)/BSc/BTech with sound grip on financial aspects Good communication skills, both written and oral Willing to work in 24*5 environment on rotational shifts (including night shifts) Certification or knowledge/experience in MS-office (Excel, Word, PowerPoint) Preferred with exposure of working on data analysis Knowledge in SQL, Python and VBA Macro is a must Knowledge of corporate finance / accountancy ie, financial statements and annual reports is a plus

Description & Requirements We are seeking a Contact Data Analyst Principal within Sales Operations team, responsible for analyzing and improving the health and coverage of contact-level data across all customer and prospect accounts. They will play a crucial role in ensuring the accuracy, completeness, and strategic use of contact data. This position involves deep analysis of contact data across various go-to-market (GTM) segments, industries, and regions, helping to drive insights that improve data health and coverage. The analyst will be responsible for developing dashboards and reports that highlight data gaps, underrepresented job titles, and enrichment priorities. They will collaborate closely with the Reporting Team, to stay aligned and provide actionable insights that guide enrichment efforts. Additionally, they will identify data hygiene issues and recommend cleanup processes to maintain high-quality contact data. Key Responsibilities: Perform in-depth analysis of contact data across various GTM segments, industries, and regions. Develop dashboards and reports showing data health, gaps, and coverage. Highlight underrepresented job titles and recommend enrichment priorities. Collaborate with the Account Data Analyst to align reporting. Provide insights to prioritize and guide enrichment efforts. Provide regular updates on the progress of acquisition initiatives. Identify data hygiene issues and recommend cleanup processes. Present findings to stakeholders across multiple teams. Requirements: Proven experience as a Data Analyst, preferably with a focus on Salesforce (SFDC) data. Strong proficiency in Salesforce (SFDC) and familiarity with ZoomInfo or other contact enrichment platforms is a plus. Excellent analytical and problem-solving skills with a keen attention to detail. Proficiency in Excel and data visualization tools. Ability to work independently and collaboratively in a fast-paced environment. Strong communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders. Experience with data clean-up initiatives. Benefits: Competitive salary and performance incentives. Opportunity to take part in a high-impact contact data project. Career growth opportunities within a dynamic and diverse team. Flexible work environment with cutting-edge tools and resources.

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will play a key role in cleaning, analyzing, and summarizing complex datasets collected from surveys, interviews, mobile applications and secondary data sources Clean, transform, and validate raw survey and app-collected data for use in analysis and visualization. Conduct descriptive and inferential statistical analysis to extract insights from datasets. Develop clear, concise data summaries and reports for non-technical stakeholders. Collaborate with the dashboard development team to ensure data accuracy and clarity in visualizations. Identify patterns, trends, and anomalies in the data to inform social science research questions. Document data processes, code, and analysis logic for reproducibility and transparency. Support the design and continuous improvement of data pipelines and workflow automation Last date to apply June 25, 2025 For details contact amritawna.hr@gmail.com Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx & PDF format only Extra curricular activities * To confirm your request , please check the box to let us know you are human

1-2 years of experience working as a data analyst or in a related role Strong proficiency in Python for data analysis (pandas, numpy, matplotlib/ seaborn) Familiarity with SQL for querying databases Experience with data visualization tools such as Power BI, or Tableau Good spoken and written English skills Job Responsibilities Data Cleaning & Preparation Collect, clean, and prepare structured and unstructured data from various sources Handle missing values, outliers, and data formatting issues Data Analysis Perform exploratory data analysis (EDA) to extract insights and trends Work with large datasets to support research and project goals Apply statistical techniques for hypothesis testing and inference Reporting & Visualization Build dashboards and reports to communicate findings effectively Present insights in a clear and compelling manner for internal and external stakeholders Collaboration Work closely with project managers, developers, and education researchers Translate research questions into data-driven analyses and solutions Code Quality & Documentation Write clean, reproducible scripts and notebooks Maintain proper documentation of data sources, workflows, and results Use Git for version control and collaborative development Learning & Improvement Stay updated on current trends and tools in data science Continuously enhance skills through learning and experimentation Job Category Research

Role : Freelancer- Market / Business Research Qualification : Preferably a degree but will consider even those with experience but no degree Experience : 1 years (Some back-office data management experience will be preferred) Timings : Flexible Location : Work From Home / Remote Mandatory Requirement : Good Laptop in working condition with Internet and good battery/power backup. Res ponsibilities : Perform Secondary Research to identify key information and validate. Ability to comprehend data and share findings in a meaningful manner. Ability to triangulate and analyse information to present logic. Handle communication over emails effectively, handle queries & respond with accuracy. Weekly MIS & Reporting as and when required. Personal Attributes: Nimble and quick witted, smart to recognize situations and proactively propose options. High on accountability & Ownership Has a Peon to Promoter mindset Possess eye for details and yet sees how tasks relate to the larger organization vision. Exceptionally strong people person, able to manage self-surroundings Ego state. Makes new mistakes & learns from the past experiences. A ball of energy, agile, with a lot of passion to make an impact in organization development. Independently maneuvers through issues meeting deadlines without compromise on quality.

Job Description: Essential Job Functions: Participate in data engineering tasks, including data processing and transformation. Assist in the development and maintenance of data pipelines and infrastructure. Collaborate with team members to support data collection and integration. Contribute to data quality and security efforts. Analyze data using data engineering tools and techniques. Collaborate with data engineers and analysts on data-related projects. Pursue opportunities to enhance data engineering skills and knowledge. Stay updated on data engineering trends and best practices. Basic Qualifications: Bachelors degree in a relevant field or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role Proven experience in data engineering Proficiencies in data engineering tools and technologies A continuous learner that stays abreast with industry knowledge and technology Other Qualifications (a plus): Advanced degree in a relevant field a plus Relevant certifications, such as Certified Data Analyst or SAS Certified Big Data Professional a plus Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Role & responsibilities Data Analysis and publishing dashboard on performance parameters for Alternate Energy, D2D and digitization projects Coordination with Internal and External Stakeholder and business partner on project rollout. Tracking the Key KPI and Publishing MIS Filed coordination for various ongoing Special Projects Working on MS Office (Excel), Power point, MIS & dashboarding. Power Bi and Advance Excel will be added advantage Reviewing agreements and monitoring/maintaining the MIS as per agreed terms and conditions. Lead administrative activities for execution of agreements with partners. SAP related capabilities for processing invoice and getting reports

Mongo DB Processing log files from Raspberry Pi Building error correlation models beyond dashboards Solar Robotics Technical Electrical Background Experience Extensive Travelling to Sites

Key Skills: Data Analyst, Python. Roles and Responsibilities: Work on AWS or any public cloud platforms for data analysis and reporting tasks. Understand and work with ETL frameworks for efficient data processing and transformation. Demonstrate hands-on experience with at least one of the following technologies: Python, Java, React, MicroStrategy (MSTR), Tableau, or Power BI. Write and optimize complex SQL queries to extract, manipulate, and analyze data. Utilize tools like ServiceNow and SharePoint for task tracking and documentation. Debug and resolve complex client-reported incidents within defined timelines. Participate in client meetings to address queries and provide weekly status updates. Prepare reports and dashboards using Microsoft Office Suite tools. Communicate effectively with internal teams and clients through written and verbal communication. Quickly adapt to and learn new tools and technologies as required. Maintain strong attention to detail and ensure high quality and accuracy in all deliverables. Demonstrate strong planning and organizational skills to manage tasks independently. Guide, mentor, and coach junior team members when needed. Experience Requirement: 2 to 5 years of relevant IT experience. Proficiency in SQL is mandatory. Experience with AWS or any public cloud platform. Familiarity with debugging, incident resolution, and client communication. Prior experience in leading or coaching juniors is desirable. Education: Any Graduation.