Analytics Executive

Job Title: Data Intern

Company: Honeybee Digital

Location: Remote

Internship Duration: 3 Months

Job Type: Internship

Working Hours

• Full-time: 9:00 AM – 6:00 PM
• Part-time: 9:00 AM – 1:00 PM / 1:00 PM – 6:00 PM

About the Role

We are looking for a detail-oriented and analytical Data Intern who is eager to work with data and gain hands-on experience in data management, analysis, and reporting. This role is ideal for candidates interested in building a career in data analysis, business intelligence, or data science.

Key Responsibilities

• Collect, organize, and maintain data from various sources
• Clean and preprocess data to ensure accuracy and consistency
• Assist in data analysis and generate basic insights
• Create reports and dashboards using tools like Excel or Google Sheets
• Support teams with data requirements for marketing, operations, and business decisions
• Perform data entry and validation tasks
• Identify patterns, trends, and anomalies in datasets
• Maintain proper documentation of data processes

Requirements

• Basic knowledge of Excel / Google Sheets
• Understanding of data handling and analysis concepts
• Attention to detail and accuracy
• Basic problem-solving and analytical thinking skills
• Familiarity with tools like Python, SQL (optional but preferred)
• Ability to manage tasks and meet deadlines
• Willingness to learn and work with data

Skills You Will Gain

• Hands-on experience in data collection, cleaning, and analysis
• Exposure to real-world datasets and reporting
• Practical knowledge of Excel, data visualization, and analytics tools
• Understanding of business decision-making using data
• Experience working in a professional environment

Who Can Apply

• Students pursuing Data Science, Computer Science, IT, Statistics, or related fields
• Freshers interested in data analysis and data-related roles
• Candidates looking to gain practical experience in data handling and analytics

About Us

Corporate Web Solutions provides technology-driven solutions involving data analysis, automation, web development, and digital transformation.

Role Overview

As a Data Analyst Intern, you'll assist in analyzing datasets, preparing reports, identifying trends, and exploring AI-assisted analytics workflows.

Key Responsibilities

• Collect and organize data.
• Analyze datasets and identify trends.
• Prepare reports and visualizations.
• Work with Excel, spreadsheets, or analytical tools.
• Assist with dashboards and data-driven insights.
• Explore AI tools for data analysis.

Requirements

• Basic understanding of data analysis.
• Familiarity with Excel or Google Sheets.
• Basic knowledge of SQL or Python is a plus.
• Analytical mindset.
• Good attention to detail.

Perks

• Certificate of Internship
• Flexible work hours
• Mentorship and real project exposure
• Potential for PPO
• Letter of Recommendation
• Performance-Based Stipend available up to ₹18,000/month

Job Description:

As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement machine learning models and algorithms.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members on data-driven projects and research.
• Participate in meetings and contribute to discussions on project progress and strategy.
• Work with large datasets to clean, preprocess, and analyze data.
• Build and deploy statistical and machine learning models to generate actionable insights.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
• Assist in the creation of data visualizations and dashboards for reporting insights.
• Support the development and improvement of data pipelines and algorithms.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
• Contribute to the documentation and presentation of results, findings, and recommendations.
• Participate in team meetings, brainstorming sessions, and project discussions.

Duration: 03 Months (with the possibility of extending up to 6 months)

MODE: Work From Home (Online)

Requirements:

• Any Graduate / PassOuts / Freasher can apply.
• Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong foundation in statistics, probability, and data analysis techniques.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

Job Description: Performance Marketing Analyst – Junior

Job Overview:

We are looking for a Junior Performance Marketing Analyst who is interested in digital advertising, data analysis, and campaign performance.

The candidate will support the performance marketing team in monitoring campaigns, analyzing key metrics, identifying performance gaps, conducting market research, and providing data-driven insights to improve leads, conversions, sales, and ROAS.

This role is ideal for someone who has a basic understanding of Meta Ads, Google Ads, social media advertising, and digital marketing metrics and wants to build a career in performance marketing.

Key Responsibilities:

• Monitor daily performance of Meta Ads, Google Ads, Instagram, Facebook, and other paid marketing campaigns.
• Track important performance metrics including:

1- CTR

2- CPC

3- CPM

4- CPA

5- CPL

6- Conversion Rate

7- ROAS

8- CAC

9- Impressions & Reach

10- Engagement

11- Add-to-Cart

12- Checkout

13- Sales & Revenue

• Prepare daily, weekly, and monthly campaign performance reports.
• Identify campaigns, ad sets, audiences, and creatives that are performing well or underperforming.
• Assist in understanding why campaigns are not generating expected leads or sales.
• Analyze audience, demographic, location, placement, and creative-level performance.
• Conduct competitor and market research to understand advertising trends, offers, creatives, and customer behavior.
• Compare campaign performance against previous results and identify areas of improvement.
• Support the team in A/B testing different creatives, audiences, ad copies, and campaign strategies.
• Provide basic data-backed recommendations on what should be continued, stopped, or tested.
• Work closely with the Performance Marketing, Creative, and Strategy teams.
• Keep track of social media and digital advertising trends and platform updates.

Required Skills:

• 0–1 years of experience in Performance Marketing, Digital Marketing, Marketing Analytics, or a related field.
• Basic understanding of Meta Ads and Google Ads.
• Understanding of digital marketing and advertising metrics.
• Good knowledge of Excel/Google Sheets.
• Basic understanding of conversion funnels and customer journeys.
• Good analytical and problem-solving skills.
• Strong research and attention-to-detail skills.
• Good communication skills.
• Willingness to learn and work with data.
• Ability to identify patterns and convert data into simple, actionable insights.

About Nexora Group

Nexora Group is a forward-thinking technology and innovation company focused on leveraging Artificial Intelligence, Data Science, and emerging technologies to solve real-world business challenges. We provide opportunities for aspiring professionals to gain hands-on experience, work on impactful projects, and develop industry-relevant skills in a collaborative environment.

Internship Overview

We are looking for enthusiastic and motivated Data Science with AI Interns to join our growing team. This internship is designed for students and recent graduates who are passionate about data analytics, machine learning, artificial intelligence, and data-driven decision-making.

The selected candidates will work alongside experienced professionals on real-world datasets, AI models, and business intelligence projects while gaining practical exposure to industry-standard tools and technologies.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured datasets.
• Perform exploratory data analysis (EDA) and generate actionable insights.
• Assist in developing and deploying machine learning and AI models.
• Work with Python, SQL, and data visualization tools.
• Create dashboards, reports, and data-driven presentations.
• Support predictive analytics and model evaluation activities.
• Collaborate with cross-functional teams on AI-driven projects.
• Research emerging trends in Data Science, Machine Learning, and Generative AI.
• Document project findings and maintain technical reports.

Required Skills

• Basic understanding of Data Science and Machine Learning concepts.
• Knowledge of Python and data analysis libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Familiarity with SQL and database concepts.
• Understanding of AI, Generative AI, and Large Language Models (LLMs) is a plus.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.

Eligibility

• Undergraduate or postgraduate students pursuing Computer Science, Data Science, AI, IT, Statistics, Mathematics, or related fields.
• Recent graduates looking to gain practical industry experience.
• Candidates with personal projects, certifications, or relevant coursework will be preferred.

What You'll Gain

• Hands-on experience with real-world AI and Data Science projects.
• Mentorship from industry professionals.
• Exposure to modern AI tools and technologies.
• Internship Certificate upon successful completion.
• Letter of Recommendation (based on performance).
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career development opportunities.

About Us

Corporate Web Solutions works on technology-driven digital solutions involving data, automation, web technologies, and artificial intelligence. Our internship programs focus on practical learning and real-world project exposure.

Role Overview

As a Data Science Intern, you'll work with datasets to perform analysis, visualization, and machine learning tasks while learning modern AI-assisted workflows.

Key Responsibilities

• Collect, clean, and analyze datasets.
• Perform exploratory data analysis.
• Create data visualizations and reports.
• Assist in developing machine learning models.
• Work with Python-based data science tools.
• Explore AI tools for data analysis and productivity.

Requirements

• Basic knowledge of Python.
• Understanding of data analysis fundamentals.
• Familiarity with Pandas and NumPy is a plus.
• Basic understanding of statistics.
• Analytical and problem-solving skills.

Perks

• Certificate of Internship
• Flexible work hours
• Mentorship and real project exposure
• Potential for PPO
• Letter of Recommendation
• Performance-Based Stipend available up to ₹18,000/month

About the Internship

The Nexora Group is looking for motivated and enthusiastic interns for the role of Data Science with AI Intern. This internship provides practical exposure to data analysis, machine learning, AI tools, and real-world datasets through guided mentorship and project-based learning.

Interns will gain hands-on experience working on live tasks related to data processing, visualization, predictive analytics, and AI-driven solutions.

Responsibilities

• Assist in collecting, cleaning, and analyzing datasets.
• Work on data visualization and reporting tasks.
• Support machine learning and AI model development activities.
• Participate in research and implementation of AI-based solutions.
• Perform data preprocessing and feature engineering tasks.
• Collaborate with mentors and team members on project assignments.
• Test, evaluate, and improve model performance.
• Maintain project documentation and reports.

Required Skills

• Basic understanding of Python or any programming language.
• Interest in Data Science, Analytics, and AI technologies.
• Knowledge of statistics, data handling, or logical reasoning is a plus.
• Good analytical and problem-solving skills.
• Ability to learn and work collaboratively in a team environment.

Preferred Skills (Optional)

• Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
• Basic understanding of Machine Learning concepts.
• Knowledge of SQL, Excel, or data visualization tools.
• Interest in Artificial Intelligence and automation technologies.

Who Can Apply

• Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
• Freshers seeking practical exposure in Data Science and AI.
• Candidates passionate about analytics, AI, and emerging technologies.

Perks & Benefits

• Hands-on experience with real-world datasets and projects.
• Mentorship from experienced professionals.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Flexible learning and working environment.
• Opportunity to build practical technical skills.
• Top performers may receive future opportunities based on project requirements.

About the Internship

Nexora Group is seeking motivated and analytical students who are passionate about Data Science, Artificial Intelligence, and Machine Learning. This internship offers hands-on experience working with real-world datasets, AI-driven technologies, predictive analytics, and data visualization techniques.

Interns will gain practical exposure to data analysis workflows, AI-powered solutions, and industry-oriented projects while developing skills that are highly valued in today's technology landscape. Nexora Group focuses on innovation and technology-driven solutions across AI, digital experiences, and emerging technologies.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured datasets.
• Perform Exploratory Data Analysis (EDA) to identify trends and patterns.
• Develop and evaluate Machine Learning models.
• Work with AI and Generative AI tools for data-driven solutions.
• Create dashboards, reports, and visualizations.
• Assist in predictive analytics and business intelligence projects.
• Document findings and present insights to mentors.
• Collaborate with team members on real-world projects.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Data Science and Machine Learning concepts.
• Familiarity with Pandas, NumPy, and data visualization libraries.
• Basic understanding of statistics and data analysis.
• Knowledge of SQL is a plus.
• Strong analytical and problem-solving abilities.
• Passion for Artificial Intelligence and emerging technologies.

Eligibility

• B.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Data Science, Computer Science, AI, IT, Mathematics, Statistics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Data Analysis & Visualization

✅ Machine Learning Fundamentals

✅ Artificial Intelligence Applications

✅ Generative AI Tools & Techniques

✅ Predictive Analytics

✅ Business Intelligence Concepts

✅ Industry-Oriented Project Development

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on Industry Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to AI & Data-Driven Technologies

Strong Data Analyst Profile with advanced Excel and SQL expertise

2

Mandatory (Experience 1): Must have 4+ years of overall experience as a hands-on Data Analyst

3

Mandatory (Tech skill 1): Must be highly proficient in advanced Excel — complex functions, macros, calculations, and pivots

4

Mandatory (Tech skill 2): Must have strong hands-on SQL and a good understanding of relational database concepts

5

Mandatory (Tech skill 3): Must be able to automate routine tasks using Python (for automation purposes)

6

Mandatory (Skill 1): Must have exceptional analytical, problem-solving, and logical skills, with strong attention to detail and accuracy

7

Mandatory (Skill 2): Must be able to understand complex data and business logic and convert it into a model (the role models complex utility tariffs, rates, and programs)

8

Mandatory (Communication): Must have strong verbal and written communication, able to work independently with India- and US-based team members and articulate problems and solutions over calls and email.

9

Mandatory (Location): Must be based locally in Pune (or the nearby Maharashtra belt — Mumbai, Nagpur), as the final round is in person

10

Preferred (Domain): Experience in the Energy/Utility industry and familiarity with basic utility (electrical/gas) tariff concepts