916 Data Analyst Jobs - Page 21

Job Title: Engineering Data Analyst Location: Bangalore Experience: 0-1 Years Job Summary: We are seeking an Engineering Data Analyst with strong skills in engineering drawing interpretation , component-level knowledge , and attribute data harvesting . The ideal candidate will work closely with engineering and product teams to extract, organize, and manage technical data from component drawings and specifications using tools like MS Excel and PowerPoint . This role is key to maintaining accuracy and integrity in component attribute databases and supporting engineering documentation processes. Required Skills: 2 4 years of experience in engineering data analysis or a similar technical documentation role. Proficiency in reading mechanical or electrical component drawings . Good understanding of engineering components , materials, and specifications. Strong skills in MS Excel (formulas, filters, pivot tables) and MS PowerPoint . Detail-oriented with a high level of accuracy and consistency in data handling. Excellent communication and collaboration skills.

Job Title Data Analyst, Automation & Analysis Location(s) Pune About the Brand Springer Nature s Group Publishing Operations team (GPO) performs and oversees manuscript screening operations across Springer Natures journals portfolio. GPO also manages the various peer-review systems used by authors, editors and reviewers as part of submit -to-accept processes. Our article-level activities are largely supported by 300+ BPO staff across multiple locations. Our journal-level activities are largely supported by ~40 Springer Nature staff across multiple locations, who also contribute to projects in one of three main areas technology, transformation and quality. About the Role In collaboration with the Manager, Automation & Analysis (as well as the rest of the Automation & Analysis team and the wider GPO team), the Data Analyst , Automation & Analysis will contribute to data and reporting activities which support BAU processes as well as strategic initiatives . This includes building dashboards , delivering advanced analytics and intelligence , as well as ensuring consistent data quality and integrity. The Data Analyst , Automation & Analysis will also manage their own portfolio of journals and partner with Publishing teams to run their journals in a Production-ready way, while facilitating submit-to-accept workflows and compliance with policies. Role Responsibilities Data Analysis Design, build, and maintain dashboards and reporting tools using primarily Looker and Google BigQuery . Analyse large datasets to identify trends, patterns, and actionable insights that improve operational efficiency and/or support strategic decision-making . Contribute to the development and documentation of data standards, definitions, and best practices . Recommend and implement KPIs, data definitions, and reporting frameworks to measure success. Journal care Gather system requirements from publishers, editors and service providers . Set up , maintain and administrate peer review systems. C onduct presentations and training sessions for internal and external stakeholders. Ensure quality of article-level activities and act as an escalation point for individual journals . Develop and m aintain relationships with stakeholders ( Publishing, Editorial , Production, Technology & Operations staff, as well as external editors, reviewers , authors and service providers ). Maintain journal-specific records and documentation . Other responsibilities Be an advocate for continuous improvement , quality and efficiency . Foster a culture of openness, transparency and collaboration within the team and with our stakeholders . Experience, skills and qualifications W orking with large datasets to extract insights and support operational or strategic decisions . Working with cross-functional teams and communicat ing technical findings to non-technical stakeholders . Working with Looker, Google BigQuery , and other BI tools . Previous experience in a publishing and/or support role. Contributing to (sometimes interconnected) business projects. A technically minded approach to solutions. Excellent numeracy skills with proven attention to detail . Strong analytical skills with the ability to identify trends, patterns, and actionable insights from complex data . SQL and programming languages such as Python . Excellent organisation skills to manage multiple concurrent projects and competing priorities . Excellent written and verbal communication skills; able to communicate with individuals at all levels and on a global scale . Good problem solving/logic/analytical skills with the ability to capture and document requirements and processes . Proactive and able to lead projects alone as well as part of a large group. Degree or equivalent work experience . Additional training or certification in data analysis, business intelligence, or data visualization desirable. Eligibility In accordance with our internal career movement guidance, 12 months in current role is a requirement before applying to a new role

Job Title: Data Analyst & BI Developer (SQL, Python, Tableau) Location: Bangalore Experience: 3-5 Years Job Summary: We are seeking a skilled Data Analyst & BI Developer (SQL, Python, Tableau) to join our data team. The ideal candidate will have strong expertise in SQL , Python , and Tableau , with hands-on experience in building robust data pipelines, automating data processes, and delivering advanced analytics solutions. The role also involves working on ETL workflows , supporting business decision-making with data insights, and collaborating with both technical and non-technical stakeholders. Required Skills: Bachelor s degree in Computer Science, Data Science, Information Systems, or a related field. 3 5 years of hands-on experience in data analysis , data engineering , or BI development . Advanced SQL skills for querying, joining, aggregating, and transforming large datasets. Proficiency in Python for data wrangling, automation, and analysis. Expertise in Tableau for building dynamic dashboards and reports. Experience in working with ETL pipelines and data flow optimization. Strong understanding of data structures , data quality , and reporting best practices .

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. Were seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether its from home, one of our offices or hubs, or a co-working space near you. Job Overview: We are seeking a Finance Systems Manager to join our growing Finance team. The Finance Systems Manager will have solid IBM Planning Analytics knowledge particularly with Rules and Turbo Integrator to support the Finance Planning and Operations team with all system improvements, reporting needs and data integrations. This role requires excellent developer skills and ability to work independently. As the Finance Systems Manager, you will be responsible for system maintenance in support of Forecast, Budget, and Long Range Planning, maintenance of day to day user support of the current models, maintenance of reporting and security set-up and support implementation of new models and on-going development of the current system. Responsibilities: Drive the development of production environments for IBM PA analytics Support on-going enhancements and implementations of new TM1 models by building new dimensions, cubes, and measures Data and metadata maintenance, version copies, provide tier-1 user support, maintain user permissions and role access, perform data loads and reconciliations for data integrity and integrations with other company systems (i.e., Netsuite) Develop and implement best practices of internal documentation for system processes, new models, enhancements, and training Analyze business requirements and translate them into effective & efficient application configuration Partner with Finance to understand system needs, open technical support tickets, triage issues and share best practices for using IBM Planning Analytics tool Basic Qualifications: 7+ years of development experience supporting Finance teams using IBM Planning Analytics tool 5+ years of experience writing and developing TM1 rules and Turbo Integrator processes, building dimensions with alternate hierarchies, cubes and dynamic subsets Experience with the IBM Planning Analytics Workspace interface and the PAx add-in Basic knowledge of finance Demonstrated history supporting end-users and troubleshooting IBM Planning Analytics system issues with a positive end-user experience This role requires working in the U.S. Eastern Time zone Preferred Qualifications: TM1py and/or TM1 REST API experience a plus Willingness to learn new technologies and interest in developing further skills and knowledge in TM1 Advanced Excel skills If this opportunity interests you, you might like these courses on Coursera: IBM Data Analyst Professional Certificate #LI-MJ1 Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here. #LI-Remote

Hi All, We are hiring of "Data Analyst" Profile for MNC, Company. Exp-1 Year Location- Only Kochi Location Work Mode- Work from Office (5.5 Days Working) Interview Mode- Face to face Notice Period- Immediate Mandatory Skills- Power BI Python SQL If Anyone interested please share your resume on below mail id- Priya.singhal@thehrsolutions.in Regards, Priya Singhal 9149003568

Position : Data Analyst Power BI & Excel Specialist Location: Hyderabad Experience : 2 - 4 years Tenure : 6 months - extension based on performance Required Skills: 2 - 4 years of hands-on experience in Power BI development. Advanced proficiency in Microsoft Excel (formulas, pivot tables, charts). Experience in creating data-driven PowerPoint presentations. Good to Have: Understanding of the pharmaceutical business domain. Experience in client handling and stakeholder communication. Good to have working knowledge of at least one ETL tool (e.g., DataIKU, Alteryx). Budget- up to 12 LPA Job Summary: We are seeking a highly skilled and detail-oriented Data Analyst with strong expertise in Power BI and Microsoft Excel to join our team. The ideal candidate will be responsible for developing insightful dashboards, managing data workflows, and presenting data-driven insights through compelling presentations. Experience with ETL tools and a good understanding of the pharmaceutical business will be a plus. Key Responsibilities: Design, develop, and maintain interactive Power BI dashboards and reports. Perform advanced data analysis and modelling using Microsoft Excel. Good Knowledge of Power Automate Should have good knowledge of SQL queries building Good to have knowledge of at least one ETL tool to manage data extraction, transformation, and loading processes. Create and deliver high-quality PowerPoint presentations for internal and client-facing data reviews. Collaborate with cross-functional teams to gather requirements and translate them into analytical solutions. Understand client interactions and contribute to project discussions with data insights Interested share cv : busiraju.sindhu@manpower.co.in Whats App : 7013970562

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt. Ltd.! We're hiring a Revenue Operations (RevOps) Analyst for a leading B2B company. Job Title: Revenue Operations (RevOps) Analyst Location: Remote (Hyderabad candidates preferred) Experience: 3-5 Years Work Timings: US EST Shift (Night Shift in India) Key Responsibilities: Sales & Funnel Analytics Analyze the complete lead-to-revenue funnel to identify trends, conversion rates, and areas for improvement. Develop and maintain sales forecasting models to predict revenue outcomes accurately. Design and implement marketing attribution models (e.g., first-touch, multi-touch) to measure campaign effectiveness. Reporting & Dashboarding Build and manage performance dashboards in HubSpot for sales, marketing, and customer success teams. Translate complex data into clear, actionable insights for stakeholders at all levels. Report on key RevOps metrics, including pipeline velocity, customer lifetime value, and sales cycle length. Process Optimization Identify bottlenecks and inefficiencies in the sales and marketing processes. Collaborate with teams to recommend and implement data-driven solutions and process improvements within the CRM. Ensure data accuracy and consistency across the revenue technology stack. Requirements: Experience: 3-5 years of experience in Revenue Operations (RevOps), Sales Operations, or CRM analytics. Certifications (Preferred): HubSpot Reporting Certification Sales Hub Software Certification Revenue Operations Certification Skills: Proven skills in analyzing lead funnel metrics, building forecasts, and setting up marketing attribution. Prior work experience with subscription-based, media, or B2B companies is a significant advantage. Must be willing and able to work full-time during the US EST time zone. Please furnish the below-mentioned details that would help us expedite the process. PLEASE MENTION THE RELEVANT POSITION IN THE SUBJECT LINE OF THE EMAIL. Example: KRISHNA, REVOPS ANALYST, 4 YEARS, 30 DAYS NOTICE Name: Position applying for: Total experience: Notice period: Current Salary: Expected Salary: Thanks and Regards, Team Hungry Bird

Hiring For Data Analyst Trainer - Offline Key Skills : Advance Excel, MYSQL, Python, SAS, PowerBi, Tableau, Data Engineer Experience :6 to 9 Years Location : Bangalore Mahadevapura Immediate Joiner Good Into Teaching Skills Deepak 9916147136

Job Title: Senior Executive Business Analyst Location: Noida Experience: Minimum 6 Years Shift Timing: 8:00 AM 5:00 PM Key Responsibilities: Develop Reporting Suites: Build and maintain standardized and customized reporting frameworks aligned with business goals and client needs. Standardize Reporting Formats: Define consistent metrics, data sources, and visualization styles across brands. Customize Reports: Collaborate with stakeholders to deliver tailored reports that support decision-making. Establish Reporting Infrastructure: Implement tools and platforms for self-service reporting and data access. Ensure Data Accuracy: Develop validation and QA processes to maintain data integrity. Cross-functional Collaboration: Work with marketing, sales, analytics, and IT to streamline data inputs and reporting workflows. User Support & Training: Provide training and ongoing support to users for effective utilization of reporting tools. Monitor & Optimize Performance: Track usage and feedback to enhance report quality and relevance. Upgrade Reporting Tools: Identify and implement improvements in reporting platforms and technologies. Client Reporting Standards: Create standardized, visually impactful reports capturing key metrics across all brands. Drive Innovation: Promote new ideas, explore advanced visualization methods, and adopt emerging technologies. Data Analysis & Insights: Translate data into actionable insights to support strategic business decisions. Ensure Compliance: Align reporting practices with ISO standards and health, safety, and environmental guidelines. Qualifications: Bachelors degree in Business Administration, Data Analytics, Computer Science, or a related field. Minimum 6 years of experience in constructing and managing reporting suites, preferably in a multi-brand or agency environment. Proficiency in reporting and data visualization tools such as Tableau, Power BI, or equivalent. Strong understanding of data structures, data governance, and data quality management. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple stakeholders and deliver accurate, timely reports in a fast-paced environment. Interested candidates share their updated resumes at pooja.thapa@manpowergroup.com.

We are looking for a Data Analyst with 1 2 years of hands-on experience in Power BI and SQL. The ideal candidate should possess strong skills in both tools, along with a solid understanding of data analytics, reporting, and business intelligence. 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 the management to prioritize business and information needs. Locate and define new process improvement opportunities. Required Skills and Qualifications: 1 2 years of experience in Power BI 1 2 years of hands-on experience in SQL Strong analytical and problem-solving skills Excellent verbal and written communication skills MBA graduates are preferred for their strong background in statistics and business analysis Familiarity with any of the following tools/platforms: o Tableau o Databricks o Python o AWS Data Environments o Azure Data Environments

Primary Skill SQL, Business Intelligence Tools Tableau, SAS, Oracle, Microsoft, etc. Data Analyst Banking products exp, DBMS( Redshift/Oracle),Cloud Exp (AWS Preferred). Secondary Skill Data Management, Agile exp. Total Exp 7+ Notice Period – less than 30 Job Location – Pan india

Dear Candidates, Greetings from Teamware Solutions Hiring for Freshers!!! Job Title: Financial Content Analyst Location: Bengaluru Shift Timings: Flexibility to extend based on business needs Ready to step into a dynamic global role? Apply now to saikeertana.r@twsol and join a team where precision meets purpose Job Description: Key Responsibilities: Collect and process financial data from public company filings Interpret capital structures, including convertibles, options, and employee share plans Ensure data integrity in alignment with internal policies Deliver results within tight deadlines and high-quality benchmarks Skills & Competencies: Strong understanding of accounting principles In-depth knowledge of capital structures and debt instruments Quick learner with high agility and a proactive mindset Excellent verbal and written communication skills Ability to manage multiple tasks under pressure Willingness to work in rotational shifts and extended hours Educational Qualifications: Bachelor's degree in Commerce, Accounting, or Finance Added certifications in finance are a plus

Requirements: - Understand the business and establish key metrics for daily tracking. - Maintain raw data to ensure all information is readily available when required. - Be open to managing and maintaining raw data for a seamless reporting system. - Create Management Information Systems (MIS) centered around core Key Performance Indicators (KPIs) to evaluate business unit performance. - Have hands-on experience with data management tools like Excel, macros, SQL, and Python. Qualifications: - Tableau experience is a preffered. - Bachelors degree in Computer Science, IT, Finance, Marketing, or a related field. - 4+ years of experience in the data management and analysis domain. - Proven working experience as a Data Analyst or Business Analyst. - Strong analytical and problem-solving skills with attention to detail. - Excellent communication skills. - Knowledge of the book/content market is an added advantage. - Prior experience working in a collaborative team is advantageous.

Job Title: Data Analyst Desired experience: 2-5 Years Brief Job Description: We are looking for a Process Analyst to join our Cengage Group Data Strategy team, to help deliver data-driven insights across a variety of business functions such as sales operations, GTM Strategy, Product Development, Digital Production, Inventory, Supply Chain, Finance etc. The Process Analyst will be a critical contributor to the team, focusing on driving reporting and maintaining core processes and reporting that the Data Strategy team has developed. They will also be involved in operational planning of process automation efforts, improving data quality, engaging cross-functional teams to create/improve data visibility and analysis, deriving business outcomes from data, and providing analytic support across Operations. What you ll do here: Form a deep understanding of Cengage Learning s processes, systems/tools, personnel, and strategic direction Create and maintain dynamic models and visuals Assist in consolidating, standardizing, and automating data workflows Collaborate with business stakeholders and data engineers to define and provide high quality, synthesized outputs Capture and communicate findings within broader project structure; maintain healthy project management, coding, and workflow practices Skills You Will Need Here: BA/BS in Computer Science, Information Systems, IT, Data Analytics (or equivalent experience) with high proven achievement Proficient understanding of data analysis and data mining tools (for example SQL, Python, PowerBI, Looker) and techniques working with Business Intelligence (BI) platforms to deliver synthesized reports. Note: While there is not an expectation of proficiency in coding, we expect candidates to have the ability to run code-based processes with comfort. Collaborative problem-solving and working style to drive change through influence and robust communication. Able to self-manage progress against milestones and deliverables with a high degree of accountability and personal urgency Compensation At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy . The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

Job Description: Seeking a highly skilled Data Analyst who will be responsible for transforming data into actionable insights that drive business growth and operational improvements. The ideal candidate will work with diverse data sources to identify trends, generate reports, and develop practical use cases based on their findings. Key Responsibilities: Business Understanding: Collaborate with stakeholders to gather and comprehend business requirements. Data Management: Collect, clean, and preprocess data from multiple sources, ensuring accuracy and completeness. Exploratory Data Analysis (EDA): Conduct EDA to uncover trends, patterns, and anomalies within datasets. Statistical Analysis: Apply statistical techniques to analyze data and derive meaningful insights. Use Case Development: Develop actionable use cases based on insights and validate them with stakeholders. Data Visualization: Create compelling data visualizations, reports, and dashboards to effectively communicate insights to stakeholders. Collaboration: Work closely with business stakeholders to develop data-driven solutions that meet organizational needs. • Implementation Support: Assist in the implementation of developed use cases Qualifications: Bachelors degree in Computer Science, Statistics, Mathematics, or a related field 5+ years of experience in data analysis or a related field Strong proficiency in programming languages such as Python and R Experience with data visualization tools such as Power BI Excellent analytical, problem-solving, and communication skills Nice to Have: • Certification in data analysis or a related field • Experience with machine learning models and algorithms • Knowledge of cloud-based data platforms such as AWS or Google Cloud • Familiarity with agile project management methodologies

Technical Data Analyst Snowflake, SQL, Python (Finance Data Warehouse) Job Description We are seeking a highly skilled *Technical Data Analyst* to join our team and play a key role in building a *single source of truth* for our high-volume, direct-to-consumer accounting and financial data warehouse. The ideal candidate will have a strong background in data analysis, SQL, and data transformation, with experience in financial data warehousing and reporting. This role will involve working closely with finance and accounting teams to gather requirements, build dashboards, and transform data to support month-end accounting, tax reporting, and financial forecasting. The financial data warehouse is currently built in *Snowflake* and will be migrated to *Databricks*. The candidate will be responsible for transitioning reporting and transformation processes to Databricks while ensuring data accuracy and consistency. *Key Responsibilities:* 1. *Data Analysis & Reporting:* - Build and maintain *month-end accounting and tax dashboards* using SQL and Snowsight in Snowflake. - Transition reporting processes to *Databricks*, creating dashboards and reports to support finance and accounting teams. - Gather requirements from finance and accounting stakeholders to design and deliver actionable insights. 2. *Data Transformation & Aggregation:* - Develop and implement data transformation pipelines in *Databricks* to aggregate financial data and create *balance sheet look-forward views*. - Ensure data accuracy and consistency during the migration from Snowflake to Databricks. - Collaborate with the data engineering team to optimize data ingestion and transformation processes. 3. *Data Integration & ERP Collaboration:* - Support the integration of financial data from the data warehouse into *NetSuite ERP* by ensuring data is properly transformed and validated. - Work with cross-functional teams to ensure seamless data flow between systems. 4. *Data Ingestion & Tools:* - Understand and work with *Fivetran* for data ingestion (no need to be an expert, but familiarity is required). - Troubleshoot and resolve data-related issues in collaboration with the data engineering team. Additional Qualifications: - 3+ years of experience as a *Data Analyst* or similar role, preferably in a financial or accounting context. - Strong proficiency in *SQL* and experience with *Snowflake* and *Databricks*. - Experience building dashboards and reports for financial data (e.g., month-end close, tax reporting, balance sheets). - Familiarity with *Fivetran* or similar data ingestion tools. - Understanding of financial data concepts (e.g., general ledger, journals, balance sheets, income statements). - Experience with data transformation and aggregation in a cloud-based environment. - Strong communication skills to collaborate with finance and accounting teams. - Nice-to-have: Experience with *NetSuite ERP* or similar financial systems.

Role & Responsibilities: Acquire and mine data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Active role in data analysis, data mapping and interpretation. Exercise sound judgment while analyzing and interpreting data to ensure a high level of accuracy, timeliness, and usefulness for business leaders. Identifying the key metrics suitable for reporting on various subjects ranging from data management, data quality, progress of various data management, progress of various data investigation & remediation activities etc. Define appropriate data sourcing, frequency, methodology for calculation & presentation. Preparing reports for management team that effectively communicate trends, patterns, and predictions using relevant data. Understand business priorities and emergencies and deliver outcomes in sprints/MVPs. Developing and maintaining the software responsible for the manipulation of data including parsing, matching loading and publishing. Align to the bank's architecture principles and design solutions working with other business and technology stakeholders. Skill & Qualification: Minimum years of experience: 6+ years in Data analysis & visualization / Reporting. Technical expertise regarding data models, data mining and segmentation techniques. Familiarity with cloud computing environments, e.g. Amazon Web Services or Google Cloud Platform, particularly from interacting with cloud databases, data warehouses and static data sources (files, buckets etc) Technical: strong experience with using SQL on cloud data warehouses, and building insightful dashboards Extensive knowledge of data processing for large datasets Extract and analyze data from various data sources, and Conduct data cleaning, data validation, and data profiling Ability to create Data Mapping documents and conduct validation of data. Good understanding of collaborative software engineering practices (Agile, DevOps) Professional experience as a Business Analyst, Data/Web Analyst or Data Scientist Independent problem-solver, including an ability to self-learn new techniques/tools as needed. Strong interpersonal skills with the ability to collaborate, network and build strong relations with team members and stakeholders ROLE SPECIFIC COMPETENCIES Requirements Gathering (Banking, Datawarehouse) Expert Data Mapping & Data Modelling Advanced SQL / Hive Advanced Agile / Jira/ Azure Devops Intermediate

JOB DESCRIPTION FOR DATA ANALYST Job Title: Data Analyst Location: Noida Experience Required: 13 Years Department: Data & Analytics / Business Intelligence Industry: SaaS / Technology Employment Type: Full-Time About the Role: We are looking for a proactive and curious Data Analyst with 1–3 years of experience to join our growing SaaS team. In this role, you’ll work with large volumes of product, customer, and operational data to generate insights that help improve product decisions, customer experience, and business growth. You’ll partner with teams across Product, Marketing, Sales, and Customer Success to solve real-world business problems with data. Key Responsibilities: • Collect, clean, and validate data from various internal SaaS platforms (e.g., CRM, Product Analytics, Marketing Tools) • Generate recurring and ad hoc reports for business stakeholders • Build dashboards and visualizations using tools like Power BI, Tableau, or Looker • Analyze user behavior and product performance metrics to support decision-making • Assist in setting up tracking for key SaaS KPIs such as user engagement, churn, MRR, and CLTV • Collaborate with Product Owners, Marketers, and Sales teams to define and interpret data requirements • Identify data inconsistencies or inefficiencies and recommend solutions • Support data-driven A/B testing initiatives and user behavior segmentation Requirements: • Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related field • 1–3 years of relevant experience in data analytics, preferably in a SaaS or tech-based environment • Solid knowledge of SQL and experience querying relational databases • Hands-on experience with Excel/Google Sheets and at least one visualization tool (Power BI, Tableau, Looker, etc.) • Strong analytical thinking with attention to detail • Ability to present data insights clearly to both technical and non-technical stakeholders • Basic understanding of SaaS metrics such as CAC, MRR, ARR, retention, and funnel analysis Good to Have: • Familiarity with product analytics tools like Mixpanel, Amplitude, or Google Analytics • Exposure to scripting languages like Python or R for data analysis • Knowledge of CRM tools like Salesforce or HubSpot • Experience working in an Agile environment with cross-functional teams What We Offer: • Opportunity to work in a fast-paced SaaS company with a data-driven culture • Career development and mentorship in data analytics • Flexible work hours and remote work options • Exposure to the entire SaaS business lifecycle and growth operations • A collaborative environment that encourages continuous learning If you are interested, then please do share your cv at harshit.tripathi@gmail.com

EHR (Electronic Health Record) Analyst Roles and Responsibilities: Manage and optimize electronic health record systems. Ensure EHR systems meet the needs of healthcare providers and patients. Analyze data to improve EHR system performance. Train healthcare staff on EHR system usage. Collaborate with IT departments to implement system updates. Required Skills: Knowledge of EHR systems Proficiency in data analysis Attention to detail Strong organizational skills Ability to train healthcare staff

We are hiring a business analyst to join our project team. Design Business Process for Strategic Management , You will report directly to the project manager. Your main tasks will include performing detailed requirements analysis, documenting processes, and performing some user acceptance testing. To succeed in this role you should have a natural analytical way of thinking and be able to explain difficult concepts to non-technical users. Business Analyst Responsibilities: Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions. Leading ongoing reviews of business processes and developing optimization strategies. Staying up-to-date on the latest process and IT advancements to automate and modernize systems. Conducting meetings and presentations to share ideas and findings. Performing requirements analysis. Documenting and communicating the results of your efforts. Effectively communicating your insights and plans to cross-functional team members and management. Excellent documentation skills and capable of preparing all project related documents like BRD, SRS, SDD, prototyping etc . Should have knowledge of Power BI and Tableau. Gathering critical information from meetings with various stakeholders and producing useful reports. Working closely with clients, technicians, and managerial staff. Providing leadership, training, coaching, and guidance to junior staff. Allocating resources and maintaining cost efficiency. Ensuring solutions meet business needs and requirements. Performing user acceptance testing. Managing projects, developing project plans, and monitoring performance. Updating, implementing, and maintaining procedures. Prioritizing initiatives based on business needs and requirements. Serving as a liaison between stakeholders and users. Managing competing resources and priorities. Monitoring deliverables and ensuring timely completion of projects. Business Analyst Requirements: A bachelorTMs degree in business or related field or an MBA/HR. A minimum of 5 years of experience in business analysis or a related field. Exceptional analytical and conceptual thinking skills. The ability to influence stakeholders and work closely with them to determine acceptable solutions. Advanced technical skills. Excellent documentation skills. Fundamental analytical and conceptual thinking skills. Experience creating detailed reports and giving presentations. Competency in Microsoft applications including Word, Excel, and Outlook. A track record of following through on commitments. Excellent planning, organizational, and time management skills. Experience leading and developing top-performing teams. A history of leading and supporting successful projects

Job Title: Technical Data Analyst Work Mode: Remote Contract Duration: 6 Months to 1 Year Location: Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote (Open to candidates across India) Experience: 5+ Years Job Overview: We are seeking a highly skilled Technical Data Analyst for a remote contract position (6 to 12 months) to help build a single source of truth for our high-volume direct-to-consumer accounting and financial data warehouse. You will work closely with Finance & Accounting teams and play a pivotal role in dashboard creation, data transformation, and migration from Snowflake to Databricks. Key Responsibilities: 1. Data Analysis & Reporting Develop month-end accounting and tax dashboards using SQL in Snowflake (Snowsight) Migrate and transition reports/dashboards to Databricks Gather, analyze, and transform business requirements from finance/accounting stakeholders into data products 2. Data Transformation & Aggregation Build transformation pipelines in Databricks to support balance sheet look-forward views Maintain data accuracy and consistency throughout the Snowflake Databricks migration Partner with Data Engineering to optimize pipeline performance 3. ERP & Data Integration Support integration of financial data with NetSuite ERP Validate transformed data to ensure correct ingestion and mapping into ERP systems 4. Ingestion & Data Ops Work with Fivetran for ingestion and resolve any pipeline or data accuracy issues Monitor data workflows and collaborate with engineering teams on troubleshooting Required Skills & Qualifications: 5+ years of experience as a Data Analyst (preferably in Finance/Accounting domain) Strong in SQL, with proven experience in Snowflake and Databricks Experience in building financial dashboards (month-end close, tax reporting, balance sheets) Understanding of financial/accounting data: GL, journal entries, balance sheet, income statements Familiarity with Fivetran or similar data ingestion tools Experience with data transformation in a cloud environment Strong communication and stakeholder management skills Nice to have: Experience working with NetSuite ERP Apply Now: Please share your updated resume with the following details: Full Name Total Experience Relevant Experience in SQL, Snowflake, Databricks Experience in Finance or Accounting domain Current Location Availability (Notice Period) Current and Expected Rate

Develop predictive models to accurately forecast product demand and perform SKU segmentation based on sales velocity, margin, and seasonality. Maintain high data integrity standards, ensuring accurate inputs across multiple business units and systems Required Candidate profile Bachelor’s or Master’s degree in Data Science, Business Analytics, or Supply Chain Management. Advanced skills in Excel, SQL, and BI/visualisation tools (e.g., Power BI, Tableau) Oversee MIS platforms

To involve in Data Cleaning & Preparation for BPO & Call Centre, filtering the data, handling the missing values, and preparing datasets to ensure accuracy & relevance. Need to get into data exploration & analysis. Should be able to use statistical tools and techniques to explore and analyse data, identifying patterns, relationships & trends. Should be able to create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at first glance. To prepare reports and presentations to communicate the insights and findings from the data to different stakeholders, who can influence policy and decision making process. Should often work with other departments like BPO,Call Centre to understand their data needs and enable them to make informed decisions based on data insights. Will be the FPR for any data requirements for the mentioned BPO & Call Centre functions Will be responsible in automation & publishing of various dashboards covering the entire life cycle of application process

Role & responsibilities Prepare technical reports by collecting, analyzing and summarizing information and trends Creating and maintaining dashboards with operational and business metrics Prepare Business Review Presentations - perform daily, weekly and monthly reviews of current processes Supporting the continuous optimization of operating models and reporting practices Improving operational systems by analyzing current practices, including designing and writing potential modifications and support in their maintenance. Conducting ad hoc analysis to investigate ongoing or one-time operational issues and communicate them effectively to all relevant stakeholders. Preferred candidate profile Minimum of 2 years of experience as a Data Analyst/MIS Analyst or similar roles Able to adapt quickly to changes in workflows and a team-player who can also work independently Excellent organizational skills and detail-oriented approach to problem solving Excellent English communication (verbal and written), including the ability to clearly communicate in a dynamic environment across all levels Able to prioritize and manage tasks efficiently Understanding of business processes and improvement methods Understanding of departmental policies and procedures Strong fundamental knowledge of calculations and Operation metrics (SLA Metrics such as Productivity, Quality,etc) Knowledge of: Google Sheets/ MS Excel (PivotTable, Charts, Statistical functions and macro functions) Advance SQL PLX Google Apps Script or JavaScript

Window/Linux Installation & Configuration, troubleshooting of network connection issue, addrressing user tickets, printer issues, knowledge on mobile & sound device, WIFI, good communication skills 1. What is DHCP 2. What is DNS 3. What is IP Config 4. What is a Domain 5. What is IP Config Command 6. What is tehe operating system 7. Type of OS 8. what is ticketing tool 9. Difference between Incident & Service Request