Remote India Data analyst Jobs – 116 Open Jobs Today

Data Analytics Faculty
combus edu solutions llp —Remote
- Part-time
- Remote
- Microsoft Excel
- SQL
- Analysis skills
- Work from home
- Flexible schedule
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17h
Business Analyst (Healthcare Domain)
HelixBeat —Remote
- Remote
- Databases
- Analysis skills
- EMR systems
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AI & Quantitative Research Intern
OBLIM Intelligence —Remote
- ₹10,000 a month
- Remote
- Master's degree
- SQL
- Analysis skills
- Work from home
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7h

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Customer service
Telicolling —Remote
We are looking for a Customer Service to assist customers with their queries, provide accurate information, and ensure a positive customer experience.
₹10,540.80 - ₹34,589.11 a month
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6h
Independent Support Worker
Parkash club —Remote
We are looking for motivated speakers who are interested in team work , gaining relations . Our team is expanding internationally and welcomes people who want…
₹11,000 - ₹16,000 a month
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Data Analytics Faculty

combus edu solutions llp
Remote

Quick apply

Job details

Part-time | Freelance
17 hours ago

Benefits

Work from home
Flexible schedule

Qualifications

Power BI
Microsoft Excel
Business intelligence
NumPy
SQL
Pandas
Analysis skills
Machine learning
Mentoring
Data analytics
Communication skills
Python
Teaching experience

Full job description

We are looking for a highly skilled and experienced Data Analytics Faculty with strong hands-on expertise in Python, SQL, Advanced Excel, Power BI, Statistics, and Business Intelligence.

The ideal candidate should have proven experience in delivering practical, project-based Data Analytics training, guiding learners through real-world datasets, dashboards, case studies, and capstone projects.

Key Responsibilities

- Deliver industry-oriented, hands-on Data Analytics training as per the complete syllabus.

- Conduct practical sessions using real-world datasets, assignments, case studies, and projects.

- Train learners in data cleaning, analysis, visualization, reporting, dashboard development, and interpretation.

- Guide learners in developing industry-standard Power BI dashboards, Excel reports, SQL projects, and analytics portfolios.

- Mentor learners throughout their capstone projects and provide technical guidance.

- Conduct assessments, evaluate performance, and provide constructive feedback.

- Simplify complex technical concepts and effectively handle learners with different skill levels.

Mandatory Technical Expertise

Candidates must have strong practical knowledge of:

Python: NumPy, Pandas, EDA, Data Cleaning, Matplotlib, Seaborn

Statistics: Descriptive Statistics, Probability, Distributions, Hypothesis Testing, ANOVA, Z-Test, T-Test, Chi-Square

SQL: Queries, Joins, Aggregations, CTEs, Subqueries, CASE Statements, Window Functions

Advanced Excel: XLOOKUP, VLOOKUP, INDEX-MATCH, Advanced Formulas, Pivot Tables/Charts, Power Query, ETL

Power BI: Power Query, Data Cleaning, Data Modelling, Relationships, DAX, Measures, Dashboards, Publishing & Data Refresh

Business Intelligence: KPI Development, Dashboard Design, Data Storytelling, Business Reporting using Excel, Power BI & Google Data Studio

Added Advantage: Practical knowledge of Machine Learning concepts including Regression, Classification, Clustering, and PCA.

Candidate Profile

- 2+ years of proven experience in Data Analytics training/teaching or relevant industry experience.

- Strong hands-on expertise across the complete Data Analytics workflow.

- Experience working with real-world datasets and end-to-end analytics projects.

- Excellent communication, presentation, and classroom-management skills.

- Ability to explain technical concepts in a simple and practical manner.

- Strong analytical and problem-solving abilities.

- Experience mentoring students/professionals on projects is highly preferred.

- Candidates with only theoretical knowledge or limited exposure to the required tools need not apply.

Preference will be given to candidates with proven industry experience, strong project portfolios, and a track record of delivering high-quality Data Analytics training.

Benefits:

Flexible schedule
Work from home

Work Location: Remote

Quick apply

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