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data analyst

MARS Healthcare Network

We are looking for Fresh talent who are able to work as Data Analyst, reporting process by performing all related tasks and solving issues as they come up during the shift.Roles and Responsibilities:<ul><li>Interpret data, analyze results using statistical techniques and provide ongoing reports.</li><li>Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.</li><li>Acquire data from primary or secondary data sources and maintain databases/data systems.</li><li>Locate and define new process improvement opportunities.</li><li>Extracting the data from multiple sources and refining the data to get business insights.</li><li>Using power BI, MS excel and other tools to interpret results/finding from the data which can be used to take business decisions.</li><li>Responsible for improving the efficiency of the workflow on the basis of the available data.</li></ul>Requirements:<ul><li>Minimum qualification should be Bachelors of Engineering (B.E)</li><li>Expertise in Power BI and MS Excel.</li><li>Good communication and presentation skills.</li><li>At least 2 years of Experience.</li><li>Strong analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Adept at queries, report writing and presenting findings.</li></ul>Job Type: Full-timePay: From Rs90,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Analyst: 2 years (Required)</li></ul>

Data Analyst

Minerva Research Solutions

<div>Role Overview: 
 
The Trainee Data Analyst will be responsible for collecting, cleaning, analyzing, and visualizing data to identify trends, patterns, and actionable insights. The role supports data-driven decision-making by delivering interactive reports and dashboards on a timely basis. The analyst will collaborate with stakeholders to understand business processes, reporting requirements, and key data points, while also contributing to the automation of data collection and consolidation.
Key Responsibilities:<ul><li>
Collect, clean, and validate datasets from multiple sources to ensure accuracy and consistency.</li><li>
Analyze and interpret data to identify trends, gaps, and insights that inform business decisions.</li><li>
Design and develop interactive dashboards and reports for regular business reviews.</li><li>
Collaborate with stakeholders to gather requirements and translate them into data solutions.</li><li>
Automate repetitive data collection and reporting processes using tools such as Power Automate.</li><li>
Present findings and insights during bi-weekly meetings, highlighting areas requiring attention.</li></ul>
Essential Skills &amp; Competencies:<ul><li>
Strong analytical, critical thinking, and problem-solving skills.</li><li>
Proficiency in MS Excel (Advanced level).</li><li>
Working knowledge of Power BI (Intermediate level) for data visualization and reporting.</li><li>
Experience with Power Automate for process automation.</li><li>
Functional knowledge of databases such as SQL, MySQL, and understanding of APIs/microservices.</li><li>
Strong communication and presentation skills with the ability to engage stakeholders.</li></ul>
Benefits:<ul><li>
Competitive salary and performance-based bonuses.</li><li>
Quarterly Bonus Structure.</li><li>
Medical health insurance coverage for you and your family (Spouse &amp; Children).</li><li>
Employees Old-age benefits coverage.</li><li>
40-hours Week.</li><li>
Exposure to US Market.</li><li>
Professional learning and development support.</li><li>
Generous vacation and paid time off.</li><li>
Employee assistance programs for mental health.</li><li>
Company-sponsored events and team-building activities.</li><li>
Diverse, professional and inclusive work environment.</li><li>
Opportunities for career growth.</li><li>
Cutting-edge technology and tools.</li><li>
Family-friendly policies, including parental leave.</li><li>
Commuter benefits or transportation assistance.</li><li>
Social responsibility and community involvement programs.</li></ul>
Openings:<ul><li>
Equal opportunity employers</li><li>
Full-time</li><li>
On-site job (Night shift)</li></ul> 
Work Schedule Timings:<ul><li>
Monday to Friday</li><li>
7PM to 3AM (transport facility provided for female staff only and allowance for male employees, additional night shift allowance)</li></ul>
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Trainee Data Analyst

The Citizens Foundation (TCF)

DescriptionThe incumbent will be responsible for processing and interpreting data, analyzing results and providing relevant insights that would guide strategic decisions and increase business efficiencies. He/she will work hand-in-hand with other departments to clean and analyze wide variety of data collected from the field and data in management systems.<ul><li>Ensure data structures are robust as per set standards and data analysis is free of error.</li><li>Develop a workflow to move from raw data to fully processed data ready for analysis in Excel, or data software based on the team&rsquo;s theoretical/administrative requirements.</li><li>Provide project/initiative specific recommendations based on results attained from data analysis.</li><li>Work with a variety of data sets and conduct statistical analysis.</li><li>Prepare technical and non-technical reports as and when required using data.</li></ul>Required Skills<ul><li>Excellent analytical skills &ndash; should be able to manage all data related tasks including data entry, data cleaning, data analysis, and reporting.</li><li>Strong, practical grasp over statistical methods. Some experience in predictive analytics would be a plus.</li><li>Proficiency in Excel and Python/R, for data analysis with programming skills in SQL for database management (ETL workflow).</li><li>Comfortable in multi-tasking and ability to work on a wide range of projects requiring collaboration across different teams.</li><li>Excellent verbal and written communications skills and presentation skills to contribute to reports, and impact evaluation studies.</li><li>Must be passionate, self-motivated, results driven, and able to work with minimum supervision.</li><li>Must be curious and motivated to learn new skills.</li><li>Strong interpersonal and time-management skills.</li><li>Proficiency in Power BI, DAX and M-query and dashboard design.</li></ul>EducationBachelor's Degree in Business, Economics, Mathematics, Computer Science, or related fieldExperience2 - 3 years' experience in a similar roleJob Type: Full-timeApplication Question(s):<ul><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Are you willing to negotiate?</li></ul>Work Location: In person

ibex

<div>
 
 
 Ibex,
 
 for one of its
 
 global clients,
 
 is hiring a
 
 Data Analyst
 
 to join the
 
 Data Analytics team
 
 . This role is ideal for someone passionate about building robust data solutions from the ground up. You will play a critical role in
 
 querying, transforming, and analyzing complex datasets,
 
 while contributing to the design of scalable data models and automation of key reporting processes. Your insights will directly drive
 
 operational efficiency, cost optimization, and strategic decision-making
 
 across the business.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Write clean, efficient, and production-quality
 
 SQL queries
 
 to extract, manipulate, and analyse large datasets, applying advanced techniques such as joins, window functions, and CTEs.
 </li>
 <li>
 Develop and maintain
 
 Python scripts
 
 to automate manual processes, clean and validate data, and perform advanced statistical analysis using libraries such as
 
 Pandas
 
 and
 
 NumPy
 
 .
 </li>
 <li>
 Design, build, and maintain scalable
 
 data models
 
 using
 
 dbt
 
 , ensuring datasets are reliable, well-documented, and ready for analytics and business intelligence.
 </li>
 <li>
 Implement robust
 
 data quality checks
 
 and validation scripts within data pipelines to ensure accuracy, consistency, and governance of business-critical metrics.
 </li>
 <li>
 Collaborate with cross-functional stakeholders to
 
 translate business requirements
 
 into technical specifications for data pipelines, reports, and analytical solutions.
 </li>
 <li>
 Deliver
 
 insightful analysis
 
 and communicate findings clearly to senior leadership and non-technical stakeholders, enabling data-driven decision-making.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science
 
 ,
 
 Data Science, Statistics, or a related field.
 </li>
 <li>
 
 Advanced SQL expertise
 
 , with the ability to write complex, performant queries and optimize for large-scale data operations.
 </li>
 <li>
 
 Proficiency in Python
 
 , with experience automating workflows and analysing data.
 </li>
 <li>
 
 Hands-on experience with dbt
 
 for managing data transformation workflows and scalable models.
 </li>
 <li>
 Proven experience
 
 
 with
 
 Tableau
 
 (designing dashboards, reports, and visual analytics).
 </li>
 <li>
 Experience with other
 
 BI/visualisation tools
 
 such as
 
 Power BI
 
 is a plus.
 </li>
 <li>
 Strong
 
 analytical and problem-solving skills
 
 , with a keen eye for detail and data accuracy.
 </li>
 <li>
 Experience with BI/visualisation tools (Power BI, Tableau) and foundational knowledge of statistical modelling or machine learning concepts is a plus.
 </li>
 </ul>
</div>

Technical Data Analyst

DM Clinical Research

<div>We are seeking a Junior Data Analyst (L2 Level, 2-3 Years Experience) to join our team. The ideal candidate will be responsible for analyzing, visualizing, and interpreting data to help drive business decisions. You will work closely with stakeholders to gather requirements, develop reports, and create interactive dashboards using BI tools like Power BI, or Looker. This role requires strong analytical skills, experience with SQL, and data modeling, and the ability to translate complex data into actionable insights.
DUTIES &amp; RESPONSIBILITIES<ul><li>
Collect, analyze, and interpret large datasets to provide actionable insights.</li><li>
Develop and maintain interactive dashboards and reports using BI tools (Power BI, Tableau, Looker,</li><li>
etc.).</li><li>
Write and optimize SQL queries for data extraction, transformation, and analysis.</li><li>
Work with stakeholders to define KPIs, metrics, and data visualization strategies.</li><li>
Perform data modeling, data cleansing, and validation to ensure accuracy and consistency.</li><li>
Support business teams with ad hoc data analysis and predictive analytics.</li><li>
Identify trends, anomalies, and business opportunities through data exploration and statistical analysis.</li><li>
Collaborate with engineering, product, and business teams to define data requirements and improve data</li><li>
infrastructure.</li><li>
Ensure data security, integrity, and compliance with company policies and regulations.</li></ul>
KNOWLEDGE &amp; EXPERIENCE
Education:<ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field.</li><li>
Equivalent work experience may be considered in lieu of a degree.</li></ul>
Experience:<ul><li>
2-3 years of experience in Data Analytics and Dashboard development.</li><li>
Proficiency in SQL for querying and data manipulation.</li><li>
Hands-on experience with BI tools (Power BI is a plus)</li><li>
Knowledge and understanding of MS Fabric (preferred but not mandatory)</li><li>
Knowledge of Python or R for data analysis and automation (preferred but not mandatory).</li><li>
Familiarity with Excel, Google Sheets, and advanced data visualization techniques</li></ul>
Credentials:<ul><li>
Microsoft Azure certifications (preferred but not mandatory).</li></ul>
Knowledge and Skills:<ul><li>
Strong knowledge of BI tools and data manipulation.</li><li>
Experience working with relational databases and NoSQL databases</li><li>
Strong analytical thinking, problem-solving skills, and attention to detail.</li><li>
Excellent storytelling skills to convey data insights effectively</li><li>
Strong communication skills in English and teamwork skills for working in an agile environment.</li><li>
Understanding of Azure cloud computing and MS Fabric</li></ul></div>

Junior Data Analyst

KNOATIV

<div>
 
 Introduction
 
 
 
 At Valus, were building the future of loyalty through AI-powered SaaS solutions that help businesses connect with their customers in smarter, more meaningful ways. We thrive on collaboration, innovation, and the relentless pursuit of creating value at every touchpoint.
 
 
 Our team is driven by curiosity, creativity, and a growth mindset. Every challenge is a chance to learn, every idea can spark transformation, and every individual contributes to shaping the journey ahead. Together, we explore new possibilities, push boundaries, and design solutions that scale globally while delivering real impact locally.
 
 
 
 About the Role:
 
 
 
 As a Senior Data Analyst at Valus, you will play a leading role in transforming complex data into clear, actionable insights that guide strategic decisions across the business. You will also lead and support a team of analysts, ensuring delivery excellence, shared learning, and continuous improvement.
 
 
 You will collaborate with product, marketing, engineering, and operations to bring structure to unstructured problems, design impactful reporting systems, and empower teams through data. This role combines analytical expertise, business awareness, and team leadership to drive data-informed outcomes that matter.
 
 
 
 Key Responsibilities &amp; Competencies:
 
 
 
 <ul>
 <li>
 Lead and mentor junior and mid-level data analysts while fostering a culture of learning, quality, and ownership.
 </li>
 <li>
 Translate business needs into structured analysis and deliver clear, business-ready insights.
 </li>
 <li>
 Respond to ad hoc data requests from stakeholders and leadership, providing fast and reliable insights.
 </li>
 <li>
 Work hands-on with SQL and Python or R to explore data, build models, and automate reporting.
 </li>
 <li>
 Create dashboards using Power BI and Tableau, applying DAX, Power Query, and Tableau Calculations to visualize trends and support decision-making.
 </li>
 <li>
 Collaborate with cross-functional teams to align KPIs and promote data-driven action.
 </li>
 <li>
 Define and maintain documentation and data standards to ensure reporting consistency.
 </li>
 <li>
 Build scalable data models and reporting frameworks that support growth and self-service analytics.
 </li>
 <li>
 Support experimentation, A B testing, and hypothesis validation.
 </li>
 <li>
 Represent the data team in leadership planning and cross-department strategy sessions.
 
 
 
 </li>
 </ul>
 
 Qualifications And Skills
 
 
 
 <ul>
 <li>
 5 or more years of experience in data analytics, business intelligence, or a related field
 </li>
 <li>
 Experience mentoring or leading other analysts or BI professionals
 </li>
 <li>
 Proficiency in SQL for complex querying and data manipulation
 </li>
 <li>
 Hands-on experience with Power BI (DAX and Power Query) and Tableau (Calculated Fields and LOD Expressions)
 </li>
 <li>
 Working knowledge of Python or R for advanced analysis and automation
 </li>
 <li>
 Strong communication and storytelling skills to present insights to technical and non-technical audiences
 </li>
 <li>
 Experience working in product, retail, or data-driven environments
 </li>
 <li>
 Strong sense of ownership, prioritization, and delivery in fast-paced settings
 
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Exposure to machine learning techniques such as clustering, forecasting, or recommendations
 </li>
 <li>
 Familiarity with tools such as scikit-learn, TensorFlow, or Azure ML
 </li>
 <li>
 Understanding of AI-driven personalization, uplift modeling, or experimentation frameworks
 </li>
 <li>
 Experience working with modern cloud-based data environments like Snowflake, BigQuery, or dbt
 
 
 
 </li>
 </ul>
 
 Expected Outcomes
 
 
 
 <ul>
 <li>
 Deliver insights that shape customer strategy, product development, and business growth
 </li>
 <li>
 Lead the development of dashboards and reporting systems that provide reliable and timely visibility
 </li>
 <li>
 Empower a high-performing analytics team through clear guidance and shared learning
 </li>
 <li>
 Increase business agility through the rapid and accurate delivery of ad hoc analysis
 </li>
 <li>
 Champion data quality and storytelling that influences decisions at every level
 
 </li>
 </ul>
</div>

Senior Data Analyst

Retail online

Position: Data AnalystWe are looking for a detail-oriented and analytical Data Analyst to support our organization's data-driven initiatives. In this role, you will be responsible for gathering, analyzing, and interpreting data from various sources to produce meaningful insights that drive strategic decisions. Your expertise in Excel, Power BI, and data analysis techniques will be critical in delivering accurate, actionable, and visually compelling reports.Key Responsibilities:<ul><li>Collect, validate, and analyze data from diverse sources to identify trends, patterns, and insights.</li><li>Develop, manage, and enhance dashboards, reports, and data models using Excel and Power BI.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver insights that inform business decisions.</li><li>Perform data cleaning, transformation, and validation to ensure data accuracy and consistency.</li><li>Recommend and implement improvements to data collection, reporting, and analysis workflows.</li><li>Conduct ad-hoc analyses and generate custom reports based on stakeholder needs.</li><li>Stay updated on the latest analytics tools, technologies, and best practices to continuously enhance reporting capabilities.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Hands-on experience working in a data-focused environment using Excel and Power BI.</li><li>Advanced skills in Excel, including pivot tables, formulas, and data visualization.</li><li>Proficient in designing and building interactive dashboards and reports in Power BI (or similar tools).</li><li>Strong grasp of data analysis methods, statistical concepts, and data modeling principles.</li><li>Experience in data preparation, cleaning, and validation to maintain high data quality.</li><li>Analytical thinker with the ability to extract insights from complex datasets.</li><li>Excellent communication skills for presenting findings and collaborating across teams.</li><li>Strong attention to detail and commitment to data accuracy and reliability.</li><li>Ability to manage multiple tasks and projects independently with minimal oversight.</li><li>Familiarity with SQL and programming languages such as Python or R is a plus.</li></ul>Job Type: Full-timeExperience:<ul><li>relevant: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Data Analyst (Night Shift)

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Data Analyst (Night Shift)