data analyst

APTO SOLUTIONS - EXECUTIVE SEARCH & CONSULTANTS

<div>
 
 🚀 Hiring:
 
 Data Analyst
 
 
 
 📍 Location: Pune / Nashik
 
 
 💼 Experience Required: 5+ Years
 
 
 
 
 
 We are looking for an experienced
 
 Data Analyst
 
 to drive data-backed decisions across product, growth, and business teams.
 
 
 
 
 
 🔹 Strong hands-on SQL
 
 
 🔹 Experience with subscription metrics (LTV, CAC, Churn, Retention)
 
 
 🔹 Dashboarding &amp; stakeholder collaboration
 
 
 📩
 
 Apply at:
 
 apoorva.chauhan@aptohr.com
 
 
 
 
 <ul>
 <li>
 #Hiring #DataAnalyst #DataAnalyticsJobs #SQLJobs #Analytics #SubscriptionBusiness #ProductAnalytics #GrowthAnalytics #JobOpening #HiringNow
 </li>
 </ul>
 
 
</div>

Data Analyst

Continental Hospitals

<div>
 
 
 Job Title:
 
 Data Analyst &ndash; Healthcare / Hospital Industry
 
 
 
 Experience:
 
 Minimum
 
 3 years (Hospital experience mandatory)
 
 
 
 
 Role Overview:
 
 
 
 We are seeking an experienced
 
 Data Analyst
 
 with strong exposure to the
 
 hospital healthcare environment
 
 . The role involves extracting data from
 
 Hospital Electronic Medical Records (EMR/HIS)
 
 and converting it into
 
 meaningful dashboards, MIS reports, and insights
 
 to support clinical, operational, and management decision-making.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Extract, clean, and analyze data from
 
 HIS / EMR / Hospital Electronic Records
 
 </li>
 <li>
 Design and maintain
 
 interactive dashboards
 
 using
 
 Power BI
 
 </li>
 <li>
 Develop operational, clinical, financial, and quality
 
 MIS reports
 
 </li>
 <li>
 Perform
 
 trend analysis, forecasting, and performance tracking
 
 </li>
 <li>
 Support departments with
 
 data-driven insights
 
 for decision-making
 </li>
 <li>
 Ensure data accuracy, integrity, and standardization
 </li>
 <li>
 Work closely with clinical, IT, and management teams
 </li>
 </ul>
 
 
 Skills &amp; Tools:
 
 
 <ul>
 <li>
 Strong hands-on experience in
 
 Power BI
 
 </li>
 <li>
 Knowledge of
 
 SQL / Excel / Data Modeling
 
 </li>
 <li>
 Exposure to
 
 Big Data analysis
 
 in healthcare (preferred)
 </li>
 <li>
 Understanding of hospital workflows, KPIs, and metrics
 </li>
 </ul>
 
 
 Eligibility:
 
 
 <ul>
 <li>
 
 Minimum 3 years of experience in hospitals (mandatory)
 
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Good communication and stakeholder coordination
 </li>
 </ul>
 
 
 Location:
 
 Financial District, Hyderabad
 
 
 📩
 
 Interested candidates may share their resume
 
 
</div>

Realign

<div>Job Type: Contract
Job Category: IT
Job Description
<div>Role: Data Analyst 
Location: San Antonio,TX 100% onsite 
Duration: 5 months 
 
Data analyst 8+ years of experience in the domain of Banking and financial services only 
<ul><li>Knowledge of Commercial Lending Systems like Loan IQ. Must have with good hands-on technical on SQL/ Data Warehousing and CLS/FIS exp. !!!!!!!!!!!!!!</li><li>Strong understanding of all annuities (fixed, indexed, and variable)</li><li>Strong Analysis knowledge of Derivatives Trading Operations, Products and Markets, Capital Management, Portfolio Analysis, Stock Valuation, Project Auditing and Financial Forecasting</li><li>Domain expertise &ndash; Mortgage loan servicing, Mortgage-Backed Securities (MBS), Stocks, Options, Commercial lending, Wealth Management, Capital markets, Fixed income, Equities, Risk management, FX, Asset management, Derivatives</li></ul></div>
Required Skills
DATA ANALYST</div>

Data Analyst-5

Perpex Insights LLP

Date posted: September 3, 2025Pay: ₹12,000.00 - ₹15,000.00 per monthJob description:Job Title: CRM data analystLocation: CalicutExperience: Minimum 6 month experience in CRM tool.Salary: - Up to 15KJob Summary:We are seeking an experienced CRM Data Analyst to join our team. The successful candidate will be responsible for analyzing and interpreting complex customer data to inform business decisions, improve customer engagement, and drive revenue growth. The ideal candidate will have a strong background in CRM data analysis, data visualization, and statistical modeling.Key Responsibilities:1. Data Analysis: Analyze large datasets to identify trends, patterns, and insights that inform business decisions. 2. CRM Data Management: Manage and maintain CRM data integrity, ensuring accuracy and completeness. 3. Data Visualization: Create reports, dashboards, and visualizations to communicate complex data insights to stakeholders. 4. Statistical Modeling: Develop and apply statistical models to predict customer behavior and identify opportunities for growth. 5. Collaboration: Work closely with cross-functional teams, including marketing, sales, and customer service, to drive business outcomes. 6. Data Quality: Identify and resolve data quality issues, ensuring data accuracy and consistency. 7. insight Generation: Provide actionable insights and recommendations to stakeholders to inform business decisions.Requirements:1. Experience: Minimum 6 month of experience as a CRM Data Analyst or similar role. 2. Technical Skills: - Proficiency in CRM systems (e.g., Salesforce, HubSpot). - Experience with data analysis tools (e.g., Excel, SQL, Tableau). - Strong understanding of statistical modeling and data visualization techniques. 3. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets. 4. Communication Skills: Excellent communication and presentation skills, with the ability to communicate complex data insights to non-technical stakeholders. 5. Collaboration: Ability to work collaboratively with cross-functional teams.Nice to Have:1. Certifications: Certification in CRM systems or data analysis (e.g., Salesforce Certified Administrator). 2. Programming Skills: Experience with programming languages (e.g., Python, R). 3. Data Science: Experience with data science tools and techniques (e.g., machine learning, predictive analytics).What We Offer:1. Competitive Salary: Competitive salary package. 2. Benefits: Comprehensive benefits package, including health insurance, retirement plan, and paid time off. 3. Growth Opportunities: Opportunities for professional growth and development. 4. Collaborative Environment: Collaborative and dynamic work environmentJob Type: Full-timeBenefits:<ul><li>Health insurance</li><li>Paid time off</li></ul>Work Location: In personJob Types: Full-time, PermanentPay: ₹12,000.00 - ₹15,000.00 per monthBenefits:<ul><li>Cell phone reimbursement</li></ul>Work Location: In person

Virtusa

<div>
 Sr.Data Analyst
 
 
 
 Job Summary
 
 
 
 This role is responsible for transforming large, complex datasets into meaningful insights, building dashboards, conducting advanced analytics, and supporting AI/ML use cases with structured and well-curated data.
 
 
 Experience Level: 10+ years
 
 
 
 Jd
 
 
 
 <ul>
 <li>
 Analyze large structured and unstructured datasets to identify trends, patterns, correlations, and business insights.
 </li>
 <li>
 Build analytical models, conduct exploratory data analysis (EDA), and evaluate business KPIs.
 </li>
 <li>
 Develop actionable insights to support strategy, product decisions, and operational improvements.
 </li>
 <li>
 Create interactive dashboards and reports using BI tools (Looker, Tableau, Power BI, Data Studio).
 </li>
 <li>
 Automate recurring reports and ensure accuracy, consistency, and data freshness.
 </li>
 <li>
 Develop self-service analytic views for business stakeholders
 </li>
 <li>
 Conduct hypothesis testing, statistical modeling, forecasting, and clustering analyses.
 </li>
 <li>
 Support AI/ML teams with data profiling, feature validation, and dataset quality checks.
 </li>
 <li>
 Perform cohort analysis, funnel analysis, segmentation, churn modeling, and performance deep dives.
 </li>
 <li>
 Perform data validation, cleansing, anomaly detection, and root-cause analysis.
 </li>
 <li>
 Document data definitions, metric logic, dashboards, and analytical workflows.
 </li>
 <li>
 Partner with data engineering to improve data pipelines, schemas, and source integrations.
 
 
 </li>
 </ul>
 Technical Must-Haves
 
 
 <ul>
 <li>
 6&ndash;10 years of experience as a Data Analyst or Senior Analyst.
 </li>
 <li>
 Strong SQL (advanced joins, window functions, CTEs, optimization).
 </li>
 <li>
 Hands-on experience with BI/visualization tools: Looker, Tableau, Power BI, Data Studio.
 </li>
 <li>
 Strong proficiency with Python or R for analysis (pandas, numpy, visualization libraries).
 </li>
 <li>
 Experience working with data warehouses (BigQuery, Snowflake, Redshift).
 </li>
 <li>
 Deep experience performing EDA, statistical analysis, and KPI modeling.
 </li>
 <li>
 Experience supporting AI/ML projects or LLM evaluation datasets.
 </li>
 <li>
 Knowledge of Google Cloud data stack (BigQuery, Cloud Storage, Pub/Sub, Dataform).
 </li>
 <li>
 Familiarity with experimentation frameworks (A/B testing).
 </li>
 <li>
 Experience with ETL/ELT workflows and interacting with data engineering pipelines.
 </li>
 </ul>
</div>

Montana Knife Company

<div>About Us:

We are a fast-growing U.S.-based manufacturing company that designs, produces, and 
sells high-quality consumer products exclusively through our own direct-to-consumer 
digital channels. By owning the full vertical&mdash;from manufacturing to customer 
delivery&mdash;we deliver exceptional value, rapid innovation, personalized experience, and 
strong profitability to our loyal customer base. We&rsquo;re seeking a sharp, business-oriented 
Data Analyst passionate about transforming data into insights that fuel revenue growth, 
optimize marketing efficiency, enhance manufacturing operations, and strengthen 
financial health&mdash;including profitability, unit economics, and cash flow management. 

Position Overview:

The Data Analyst will be a key player in our data-driven culture, partnering across 
Marketing, E-commerce, Product, Supply Chain, Manufacturing, and Finance teams. 
You will collect, clean, analyze, and visualize data from end-to-end operations to answer 
critical business questions, uncover opportunities, and support strategic decisions 
around growth, efficiency, and financial performance. This high-impact, cross-functional 
role bridges operations, customer experience, and finance in a vertically integrated DTC 
manufacturing environment.

Key Responsibilities:
<ul><li>
Collaborate with Marketing, E-commerce, Product, Supply Chain, Manufacturing, 
and Finance teams to translate business priorities into analytical frameworks and 
questions</li><li>
Build and maintain executive-level dashboards and reports covering customer 
metrics (acquisition, LTV, retention, repeat behavior), operational KPIs (yield, 
efficiency, inventory turns), and core financial metrics (gross margin, contribution 
margin, COGS per unit, unit economics, cash conversion cycle)</li><li>
Conduct deep-dive analyses to identify trends, diagnose issues, and pinpoint 
opportunities in revenue, profitability, cost control, and cash flow</li><li>
Own customer segmentation, cohort analysis, lifetime value modeling, and unit 
economics analysis (LTV:CAC, contribution margin by product/channel, break- 
even analysis) to guide acquisition, retention, and pricing strategies</li><li>
Evaluate marketing performance (ROAS, CAC, incrementality, blended 
efficiency) across paid social, email/SMS, SEO, affiliates, and new channels</li><li>
Support merchandising, product development, and financial planning with sales 
trend analysis, attribute performance, inventory forecasting, gross margin by 
product/SKU, COGS variance analysis, and contribution margin optimization</li><li>
Track and analyze manufacturing &amp; operational KPIs (production efficiency, 
quality metrics, cost per unit, capacity utilization, scrap/waste rates, inventory 
turnover)</li><li>
Monitor key financial health indicators including gross profit margin, contribution 
margin per unit, operating profit trends, and cash-to-cash cycle</li><li>
Design, execute, and analyze A/B and multivariate tests for website features, 
email campaigns, advertising creative, promotions, and pricing strategies</li><li>
Identify data gaps and quality issues; partner with engineering, operations, and 
finance teams to enhance data collection and integrity</li><li>
Present clear, compelling, visual insights and actionable recommendations to 
stakeholders at all levels, including executive leadership and finance teams</li></ul>

Required Qualifications:
<ul><li>
Bachelor&rsquo;s degree in Analytics, Statistics, Economics, Finance, Business, 
Industrial Engineering, Supply Chain, or a related quantitative field</li><li>
2&ndash;5 years of hands-on experience as a Data Analyst (DTC/e-commerce, 
consumer products, manufacturing, or finance-related analytics strongly 
preferred)</li><li>
Strong proficiency in SQL (required) for querying large, complex datasets</li><li>
Advanced Excel skills (pivot tables, dynamic arrays, Power Query, financial 
modeling)</li><li>
Experience building interactive dashboards in Looker, Tableau, Power BI, or 
Google Looker Studio</li><li>
Familiarity with digital analytics tools (Google Analytics 4, Shopify Analytics, 
Klaviyo, Triple Whale, Northbeam, etc.)</li><li>
Solid grasp of statistical methods, A/B testing, and basic financial concepts 
(margins, unit economics, ROI)</li><li>
Excellent communication &amp; storytelling skills &mdash; able to translate complex data 
into clear, business-impactful recommendations</li><li>
NetSuite experience</li></ul> 


Preferred Qualifications (nice-to-have but not required):
<ul><li>
Experience with Python or R for advanced data manipulation and modeling</li><li>
Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift)</li><li>
Prior work with DTC financial frameworks (LTV:CAC ratios, contribution margin 
modeling, blended ROAS, gross margin optimization)</li><li>
Exposure to manufacturing/operations data (ERP/MES systems, COGS tracking, 
variance analysis)</li><li>
Familiarity with marketing mix modeling, incrementality testing, or financial 
forecasting</li></ul>

Benefits:
<ul><li>
Full-time position</li><li>
Paid Vacation</li><li>
401k Matching</li><li>
Medical</li><li>
Vision</li><li>
Dental</li><li>
Health Savings Account (HSA) and Dependent Care Flexible Spending Account (DCFSA)</li><li>
Life Insurance and AD&amp;D</li></ul></div>

Great Lakes Management Company

<div>Join our team at Great Lakes Management as our Data Analyst!
Data Analyst Responsibilities:
Data Quality, Modeling &amp; AI Readiness<ul><li>
Clean, standardize, and validate CRM, financial, and operational data to ensure accuracy and consistency</li><li>
Build and maintain analytics- and AI-ready datasets with well-defined schemas and business logic</li><li>
Identify and resolve data gaps, duplication, and inconsistencies across systems</li><li>
Establish and document data definitions and quality standards</li></ul>
Data Analysis &amp; Reporting<ul><li>
Write, optimize, and maintain complex SQL queries to transform raw data into analytics-ready datasets</li><li>
Design and maintain DOMO dashboards and reports using BI platforms &amp; similar tools</li><li>
Translate business questions into KPIs, metrics, and analytical outputs</li><li>
Deliver recurring and ad-hoc analysis to leadership and cross-functional teams</li></ul>
Business Insights &amp; Collaboration<ul><li>
Partner with sales, marketing, finance, and operations to understand analytical needs and AI objectives</li><li>
Surface trends, risks, and opportunities through data-driven insights</li><li>
Communicate findings clearly to technical and non-technical stakeholders</li></ul>
Process Improvement &amp; Automation<ul><li>
Automate data cleansing, validation, and reporting workflows</li><li>
Reduce manual reporting through efficient SQL, ETL pipelines, and BI tooling</li><li>
Document datasets, transformations, and analytical logic to support scalability</li></ul>
Systems &amp; Data Enablement<ul><li>
Use CRM, accounting, and operational platforms as primary data sources</li><li>
Collaborate with system owners to improve data capture, structure, and reporting usability</li><li>
Troubleshoot data-related issues with a solutions-oriented mindset</li></ul> 
Data Analyst Qualifications:
Required<ul><li>
In-person/hybrid work environment at the Great Lakes Corporate office</li><li>
Bachelor&rsquo;s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Business, or a related field (or equivalent practical experience)</li><li>
Deep understanding of SQL, including joins, subqueries, window functions, and query optimization</li><li>
Proven ability to clean, model, and analyze CRM, financial, and operational data</li><li>
Strong ownership of data quality and attention to detail</li><li>
Ability to manage multiple priorities independently</li><li>
Excellent written and verbal communication skills</li></ul>
Preferred<ul><li>
Hands-on experience with DOMO is a huge plus</li><li>
Experience building scalable, AI-ready datasets</li><li>
Experience with ETL processes, data pipelines, and automation workflows</li><li>
Familiarity with CRM systems (e.g., HubSpot), financial systems, or operational platforms</li></ul></div>

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