data scientist

business analyst

senior data scientist

data engineer

senior data engineer

data analyst

Tata Consultancy Services

<div>
 <p>
  <strong>
   Greetings from TCS!!!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   TCS Thane Mumbai hiring for Data Analyst!!!!!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role:
  </strong>
  Data Analyst
 </p>
 <p>
  <strong>
   Experience required:
  </strong>
  5 to 8 years
 </p>
 <p>
  <strong>
   Location:-
  </strong>
  Thane Mumbai
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Technical Skillset:-
  </strong>
 </p>
 <p>
  MYSQL, MS Excel
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Must Have Skills:-
  </strong>
 </p>
 <p>
  Excel, Advance Excel, SQL
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roles and Responsibilities:-
  </strong>
 </p>
 <ul>
  <li>
   Should be able to Understand the Assessment Solution
  </li>
  <li>
   Configurations, Processing &amp; Analyzing Data; Extract inferences from Data, Data Modelling
  </li>
  <li>
   Co-ordinating, Visiting and Explaining the report to external stakeholders and agencies
  </li>
 </ul>
</div>


Data Analyst

Precision AQ

<p></p><div><p>The Data Analyst supports client business processes and operations activities to ensure on-time and high-quality deliverables. Data Analyst combines best-in-class operational and analytic skills with strong problem-solving and communication abilities to projects, solving operational and analytical business problems. You will collaborate with and work closely with Senior Data Analyst &amp; Operations Delivery Lead to deliver operational items.</p>
<p><b>
Essential functions of the job include but are not limited to:</b></p>
<ul>
<li>Ability to understand and clearly communicate client business issues, operating business rules, data, and standard operating procedures.</li>
<li>Understand, execute, and suggest improvements to pre-defined operational processes.</li>
<li>Implement process improvements in operational processes and strive to identify such opportunities working with Senior Data Analyst &amp; Operations Delivery Lead.</li>
<li>Remaining current on new tools, techniques and working models to continually improve/enhance process and design for quick adoption.</li>
<li>Develop strong understanding of operational processes, data, tools &amp; technology to effectively translate business to technology &amp; vice versa.</li>
<li>Build subject matter expertise over a period of time and apply it to operational processes.</li>
<li>Apply quality checks and validations on all deliverables and report back results to the Operations Delivery Lead.</li>
<li>Execute defined operational models for our clients with standard operating procedures, quality assurance quality checks, governance criteria, roles and responsibilities and assist the Senior Data Analyst &amp; Operations Delivery Lead to define newer more efficient models including detailed documentation.</li>
<li>Coordinate with multiple stakeholders (could be in different time-zone) of the operational process to ensure smooth delivery to client per pre-existing timelines.</li>
<li>Assist engineering team to implement new operational procedures and/or improvements to existing operational procedures by providing knowledge about operations and testing the modified procedures.</li>
<li>Testing new/updated operational procedures to ensure fidelity.</li>
<li>Coordinate multiple tasks to produce high-quality results.</li>
<li>Work on multiple client tasks, strengthening analytic, task management and communication skills.</li>
<li>Collaborate with internal PMG teams to provide all-round value to the firm.</li>
<li>Keep track of unplanned internal &amp; client tasks stemming from operational projects.</li>
<li>Carry out secondary research as needed.</li>
<li>Investigate client questions related to operational deliveries, as needed.</li>
</ul>
<p><b>Qualifications:</b></p>
<p><b>
Minimum Required </b>-</p>
<ul>
<li>Bachelor's degree in computer science, Electronics/Communication, Electrical Engineering or related fields.</li>
<li>1 &ndash; 2 years of experience using data mining languages/tools like SQL (for analysts). Exposure to stored procedures is a plus. Detail orientation, quality consciousness and operational mindset are key qualities expected.</li>
<li>Experience in Pharmaceuticals, Managed Markets Consulting or Analytics Consulting with broad based experience in, managed care, and/or analytics will be an advantage.</li>
<li>Experience having worked with people in different time-zones.</li>
<li>Experience leading the delivery of analytic results to the client (internal or external)</li>
</ul>
<p><b>Preferred:</b></p>
<ul>
<li>Masters in these disciplines OR MBA/PGDM/Equivalent</li>
<li>Product development/ management/operations experience preferred</li>
<li>US Healthcare Expertise</li>
</ul>
<p></p><div><p>Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.</p>
<p>
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.</p>
<p>
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.</p>
<p>
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.</p></div></div>

Themesoft Inc.

<div>
 <p>
  Hi Professionals;
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Title: Data Analyst
 </p>
 <p>
  Location: Remote
 </p>
 <p>
  Duration: Contract
 </p>
 <p>
  Must Have: Data Analyst
 </p>
 <p>
  Job Description:
 </p>
 <ul>
  <li>
   Gather, analyze, and document business requirements for technical, pharma-focused projects.
  </li>
  <li>
   Develop capability maps to align business needs with IT solutions.
  </li>
  <li>
   Collaborate with cross-functional teams, including IT, business stakeholders, and technical experts.
  </li>
  <li>
   Utilize Jira for requirements management, tracking, backlog, and workflow optimization.
  </li>
 </ul>
 <p>
 </p>
</div>


Prophaze Technologies

<p><b>Job Title: Data Analyst </b></p><p><b>Location:</b> Trivandrum<br/><b>Experience Level:</b> 3 - 5 years</p><p><b>About the Role</b></p><p>We are looking for a <b>Data Analyst</b> with strong analytical skills and a keen interest in <b>web infrastructure and behavioural analytics</b> to support the development of an ML-based <b>anomaly detection system</b> for NGINX server logs.</p><p>You will play a critical role in <b>extracting domain knowledge</b> from raw logs, identifying behaviour patterns, anomalies, and translating these into <b>insightful features</b> that inform our ML engineers and are used for real-time dashboards.</p><p>This is not just a reporting role &mdash; you will work alongside AI engineers and data engineers to <b>shape how raw data is interpreted and transformed</b> for machine learning and operational use.</p><p><b>Key Responsibilities</b></p><p><b>Domain Behaviour Analysis</b>:</p><ul><li>Analyse large volumes of log data to identify user behaviour patterns, anomalies, and security events.</li><li>Interpret fields such as IP addresses, geolocation data, user agents, request paths, status codes, and request times to derive meaningful insights.</li></ul><p><b>Feature Engineering Support</b>:</p><ul><li>Collaborate with AI engineers to propose relevant features based on log behaviour and traffic patterns (e.g., burst patterns, unusual request headers, request frequency shifts).</li><li>Validate engineered features against behavioural patterns and business context.</li><li>Conduct exploratory data analysis (EDA) to evaluate feature quality and distribution.</li></ul><p><b>Data Visualization &amp; Dashboards</b>:</p><ul><li>Develop data visualizations to represent time-series trends, geo-distributions, traffic behaviour, etc...</li><li>Collaborate with the frontend/dashboard team to define and test visual requirements and anomaly indicators.</li><li>Help surface visual insights on anomalies and their severity for analyst consumption.</li></ul><p><b>Data Quality &amp; Validation</b>:</p><ul><li>Identify and address gaps, inconsistencies, and errors in raw logs.</li><li>Ensure feature logic aligns with real-world HTTP behaviour and use cases.</li><li><b>Documentation &amp; Knowledge Sharing</b>:</li><li>Create documentation that explains observed behavioural patterns, feature assumptions, and traffic insights for use by the wider ML and security team.</li></ul><p><b>Minimum Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Analytics, Cybersecurity, or a related field.</li><li><b>2+ years</b> of experience in data analysis or analytics roles.</li><li>Proficiency in:</li><li><b>SQL</b>, Elasticsearch queries (DSL or Kibana),</li><li><b>Python</b> for data analysis (pandas, matplotlib, seaborn, plotly)</li><li>Experience working with <b>web server logs</b> (NGINX, Apache) or structured event data.</li><li>Strong analytical thinking &mdash; ability to break down complex log behaviour into patterns and outliers.</li></ul><p><b>Nice to Have</b></p><ul><li>Familiarity with web security concepts (DDoS, bot detection, HTTP protocol).</li><li>Experience with log analytics platforms (Kibana, Grafana, ELK Stack).</li><li>Understanding of feature engineering concepts in ML pipelines.</li><li>Experience working on or with anomaly detection or security analytics systems.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;40,000.00 - &#8377;55,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Experience:</p><ul><li>Data analytics: 3 years (Required)</li></ul><p>Work Location: In person</p>

Akshar Foundation

<div><div><b>Job Description for DATA ANALYST</b></div><div></div><div><b><br>
Roles and Responsibilities of a Data Analyst</b></div><div></div><div><b><br>
1. Data Collection and Acquisition</b></div><div><b>
Identify Data Sources:</b> Locate and gather data from various sources including databases, spreadsheets, and external data providers.</div><div><b>
2. Data Cleaning and Preparation</b></div><div><b>
Data Validation:</b> Check data for accuracy and completeness. Identify and correct errors or inconsistencies.</div><div><b>
Data Transformation:</b> Convert raw data into a usable format, including aggregating, normalizing, and merging datasets.</div><div><b>
3. Data Analysis and Interpretation</b></div><div><b>
Descriptive Analysis:</b> Generate summaries, reports, and visualizations to understand past trends and current status.</div><div><b>
Exploratory Data Analysis (EDA):</b> Conduct preliminary analysis to discover patterns, spot anomalies, and test hypotheses.</div><div><b>
Statistical Analysis:</b> Apply statistical techniques to analyze data and generate insights. This may include hypothesis testing, regression analysis, and correlation studies.</div><div><b>
4. Reporting and Visualization</b></div><div><b>
Create Reports:</b> Develop comprehensive reports detailing analysis findings, trends, and recommendations.</div><div><b>
Data Visualization:</b> Create charts, graphs, dashboards, and other visual tools to present data insights clearly and effectively.</div><div><b>
5. Business Insights and Recommendations</b></div><div><b>
Insight Generation:</b> Translate data analysis into actionable business insights and strategic recommendations.</div><div><b>
Decision Support:</b> Provide data-driven support for decision-making processes and business strategies.</div><div><b>
6. Collaboration and Communication</b></div><div><b>
Stakeholder Interaction:</b> Work closely with stakeholders, including managers, executives, and other departments, to understand their data needs and requirements.</div><div><b>
Present Findings:</b> Communicate complex data findings and insights in an understandable manner to non-technical audiences.</div><div><b>
7. Data Management and Governance</b></div><div><b>
Data Integrity:</b> Ensure that data is accurate, secure, and compliant with relevant regulations and standards.</div><div><b>
Documentation:</b> Maintain thorough documentation of data sources, methodologies, and processes for future reference and audit purposes.</div><div><b>
8. Tool and Technology Proficiency</b></div><div><b>
Software Usage:</b> Proficiently use data analysis tools and software such as Excel and specialized data visualization tools like Tableau or Power BI.</div><div><b>
Technology Adaptation:</b> Stay updated with the latest tools and technologies in the data analytics field to improve efficiency and effectiveness.</div><div><b>
Key Skills and Qualifications</b></div><ul><li><b>
Analytical Skills:</b> Strong ability to analyze and interpret data to uncover trends and insights.</li><li><b>
Technical Proficiency:</b> Expertise in data analysis tools and data visualization platforms.</li><li><b>
Attention to Detail:</b> High level of accuracy and attention to detail in handling and analyzing data.</li><li><b>
Communication:</b> Effective verbal and written communication skills for presenting findings and recommendations.</li><li><b>
Problem-Solving:</b> Ability to approach complex data problems methodically and creatively.</li></ul></div><div></div>

IDFC FIRST Bank

<div>
 <p>
  <strong>
   Job role:
  </strong>
  Data Analyst
 </p>
 <p>
  <strong>
   Department:
  </strong>
  New Age &ndash; Data &amp; Analytics
 </p>
 <p>
  <strong>
   Purpose:
  </strong>
 </p>
 <p>
  For the role of a data analyst, the candidate needs to gain a deep understanding of the business, identify scope to use analytical solutions to aid business decision making and drive business outcomes. This is a techno-functional role where the candidate will have the opportunity to interact closely with the business stakeholders as well as explore new age analytical techniques.
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Scope business requirements and priorities through thorough understanding of the retail portfolio
  </li>
  <li>
   Gain expertise over data to derive meaningful insights. This includes in-depth exploration and comprehension of different data fields from the source systems and data marts
  </li>
  <li>
   Design and implement analytical solutions to meet business needs
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  <li>
   Explore different new age algorithms and advanced computational methods to develop robust models and analytical frameworks
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  <li>
   Perform case reviews to innovate on new variable ideas
  </li>
  <li>
   Create processes and controls to ensure that data, analyses, strategies and recommendations are accurate
  </li>
  <li>
   Have an understanding of model governance and key model/variable tracking metrics
  </li>
  <li>
   Challenge status quo to bring about efficient outcomes to existing processes
  </li>
  <li>
   Interact closely and build strong relationships with multiple stakeholder teams to bring consensus and reach conclusive outcomes
  </li>
  <li>
   Understand the big picture of how analytical solutions drive business outcomes
  </li>
 </ul>
 <p>
  <strong>
   Key Result Areas:
  </strong>
 </p>
 <ul>
  <li>
   Development robust analytical solutions/models
  </li>
  <li>
   Timely delivery of projects
  </li>
  <li>
   Effective partnership with key stakeholders
  </li>
 </ul>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Post-graduation(Tier 1) with a minimum of 4+ years of credit or risk management experience
  </li>
  <li>
   Experience and understanding of advanced analytical tools such as SAS, Python, Spark, Big Data environments
  </li>
 </ul>
 <p>
 </p>
</div>


Livspace

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Data Analyst
  </strong>
  to join the digital marketing team and act as the bridge between our marketing, analytics, and business teams. The role involves analyzing digital marketing data, identifying trends, providing actionable insights, and supporting decision-making to optimize campaign performance, lead generation, and overall ROI
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Collect, clean, and analyze data from various digital marketing channels (Google Ads, Meta Ads, SEO, CRM, email campaigns, etc.).
  </li>
  <li>
   Build dashboards and automated reports through Google Sheets, SQL, Python and Quicksight
  </li>
  <li>
   Track KPIs like lead generation, customer acquisition cost (CAC), ROI, conversion rates, and campaign performance.
  </li>
  <li>
   Work closely with the digital marketing team to measure effectiveness of campaigns.
  </li>
  <li>
   Prepare dashboards with insights, trends, and forecasts to support management decisions.
  </li>
  <li>
   Evaluate new tools, technologies, and platforms for digital marketing analytics.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Experience
   </strong>
   : 1&ndash;4 years in digital marketing analytics, business analysis, or performance marketing roles.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Skills
   </strong>
   :
  </li>
  <li>
   Strong analytical skills with proficiency in Excel/Google Sheets, SQL, Python and visualization tools.
  </li>
  <li>
   Experience with marketing platforms: Google Ads, Meta Ads Manager, Google Analytics (GA4).
  </li>
  <li>
   Understanding of SEO/SEM, paid media, lead generation funnels, and attribution models.
  </li>
 </ul>
 <p>
 </p>
</div>


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