Data mining Executive

Email Marketing & Data Mining Executive

Experience: 1–3 Years

Location: Ahmedabad

Employment Type: Full-Time

Job Summary

We are looking for an Email Marketing & Data Mining Executive who can generate relevant B2B leads, build and maintain prospect databases, and execute effective email marketing campaigns for our IT services.

Key Responsibilities

• Identify and collect relevant B2B leads and prospect data using LinkedIn, Google, company websites, and other platforms.
• Perform data mining, web research, and lead generation based on defined target industries and profiles.
• Maintain and update accurate databases of prospects, companies, decision-makers, and contact information.
• Create, manage, and execute email marketing campaigns.
• Prepare email lists, segment prospects, and monitor campaign performance.
• Track open rates, click rates, bounce rates, and responses.
• Follow up with prospects and coordinate with the BDE/Sales team for qualified leads.
• Ensure data accuracy, email validation, and proper database management.
• Research competitors, industries, and potential target accounts.

Required Skills

• Good knowledge of Email Marketing & Lead Generation
• Experience in Data Mining / Web Research
• Good knowledge of LinkedIn and Google search
• Familiarity with tools such as Apollo, Snov.io, Hunter, LinkedIn Sales Navigator, etc.
• Basic knowledge of Excel/Google Sheets
• Good written and verbal communication skills
• Ability to research and identify the right target audience
• Strong attention to detail

Good to Have

• Experience in IT/Software B2B lead generation
• Knowledge of CRM tools
• Basic understanding of email marketing platforms and campaign analytics
• Knowledge of email verification and database enrichment tools

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to identify trends, generate insights, and support business decision-making.

The candidate should be comfortable working with large datasets, creating reports and dashboards, and communicating findings clearly to business stakeholders.

Key Responsibilities

• Collect, clean, organize, and analyze data from multiple sources.
• Identify trends, patterns, anomalies, and business opportunities from data.
• Create dashboards, reports, and visualizations for business teams.
• Track and report key performance indicators (KPIs).
• Perform ad-hoc analysis to support business and management decisions.
• Develop and maintain automated reports where possible.
• Work with stakeholders to understand reporting and analytical requirements.
• Ensure data accuracy, consistency, and quality.
• Present analytical findings in a clear and actionable manner.
• Maintain documentation for reports, dashboards, and data processes.

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/

We are hiring for Data Miner/Data Entry role.

Job location : Sindhubhavan road, Ahmedabad

Job Timings : 2:00 PM to 11:00 PM IST

5 Days working

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Develop and execute marketing strategies aligned with business objectives.

Plan and manage digital marketing campaigns across multiple channels.

Manage SEO, SEM, social media, email marketing, and content marketing activities.

Develop strategies to increase website traffic, leads, and conversions.

Manage social media presence across LinkedIn, Instagram, Facebook, and other relevant platforms.

Coordinate the creation of marketing content, advertisements, landing pages, and promotional materials.

Conduct market and competitor research to identify trends and opportunities.

Plan and execute lead-generation campaigns.

Monitor campaign performance and optimize marketing activities based on data.

Track key metrics including website traffic, leads, conversion rates, engagement, CAC, and ROI.

Collaborate with sales, product, design, and other teams.

Manage marketing budgets and ensure effective allocation of resources.

Build and maintain brand consistency across marketing channels.

Prepare regular marketing performance reports for management.

Title                                : Marketing Analytics Specialist

Experience                   : 5 to 8 yrs

Location                       : Anywhere in India – Preferred Chennai

Type of Hire                  : PwD/Non PwD

Work type                      : Remote

Employment Type      : Full Time

Notice Period               : Immediate

Workday                        : Mon to Fri

Role Overview

We are looking for an experienced Marketing Analytics Specialist to derive actionable commercial insights from Reckitt’s cross-channel e-commerce sales data. The role involves integrating data from multiple, inconsistently structured sources, developing scalable data pipelines and data models, creating business intelligence dashboards, and analyzing the impact of media platform spending on sales performance across various retailer platforms.

Key Responsibilities

• Commercial Analytics: Analyze cross-channel e-commerce sales data to identify trends, performance drivers, and actionable commercial insights.
• Business Requirements: Collaborate with business stakeholders to understand reporting requirements and translate them into analytical solutions.
• Data Architecture: Design and implement efficient data storage, retrieval, and processing architectures.
• ETL Development: Build and maintain robust, scalable ETL pipelines to integrate data from multiple source systems into data warehouses or other storage solutions.
• Data Modelling: Develop and maintain data models aligned with business reporting and analytical requirements.
• Data Quality: Implement data quality checks, validation, and reconciliation processes to ensure data accuracy, completeness, and consistency.
• BI Dashboards & Reporting: Design and develop interactive dashboards and reports that communicate business performance and insights effectively.
• Media Spend Analysis: Analyze the impact of media platform spending on sales performance across multiple retailer platforms and identify opportunities to improve marketing effectiveness.
• End-User Training: Provide training, documentation, and ongoing support to enable business users to use BI tools effectively.

Required Skills

• 5+ years of experience in Marketing Analytics, Data Analytics, Business Intelligence, or a related field.
• Prior hands-on experience in Marketing Analytics, with full proficiency in Claude AI
• Strong SQL skills for data extraction, transformation, and analysis.
• Hands-on experience with ETL/ELT pipelines and data integration from multiple sources.
• Experience with data warehousing concepts and data modeling.
• Proficiency in Power BI, Tableau, or other BI visualization tools.
• Experience analyzing e-commerce sales, marketing performance, media spending, or retailer data.
• Knowledge of data quality, data validation, and reconciliation techniques.
• Strong analytical, problem-solving, and stakeholder communication skills.

Good to Have

• Experience in FMCG, retail, consumer goods, or e-commerce analytics.
• Understanding of digital marketing metrics such as ROI, ROAS, and campaign performance.
• Exposure to marketing attribution or Marketing Mix Modeling (MMM).
• Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
• Knowledge of Python or data transformation tools such as dbt.

About the Role

Work at the intersection of business and technology, supporting operations, data analysis, automation, and digital tools to improve efficiency and growth. 

 Responsibilities 

• Support business operations using tech tools (Excel, CRM, dashboards)  
• Analyze data and generate insights for decision-making  
• Assist in automation workflows and process improvements  
• Coordinate between tech and business teams  
• Help in implementing digital solutions and tools  

 Skills Required 

• Basic knowledge of Excel / Google Sheets  
• Good analytical and problem-solving skills  
• Understanding of business processes  
• Interest in technology and automation  

 Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO based on performance 

Key Responsibilities

• Collect, consolidate and manage data from various internal systems, SaaS platforms, CRM/ERP modules, logs, and databases.
• Generate daily, weekly, monthly, and ad-hoc MIS reports and dashboards for operations, sales, finance, customer-support or other relevant teams.
• Use advanced Excel to build, maintain, and manage complex spreadsheets — including pivot tables, VLOOKUP / HLOOKUP / INDEX-MATCH, SUMIF/COUNTIF, conditional formatting, charts/graphs, macros/VBA (if needed) to automate routine reporting tasks.
• Validate and clean data — ensure data integrity, consistency; identify and rectify discrepancies or anomalies.
• Collaborate with cross-functional teams (product, operations, support, finance, sales) to understand their data/reporting needs and deliver appropriate reports/insights.
• Provide ad-hoc data analysis or custom reporting as required by management or US stakeholders.
• Maintain documentation of reporting processes, data definitions/SOPs, report templates, and standard workflows.
• Ensure timely delivery of reports — especially considering night-shift schedule — so that US-based stakeholders receive data at start of their business day.
• Identify opportunities for process improvement and automation to make MIS reporting more efficient and reliable.

Required Skills & Qualifications

• Bachelor’s degree (in IT, Computer Science, Business, Statistics, or related field) or equivalent.

• Strong proficiency in Microsoft Excel — including advanced formulas/functions (VLOOKUP/HLOOKUP/INDEX-MATCH), pivot tables, charts/graphs, conditional formatting, data cleaning, data validation.
• Ability to build and maintain dashboards/reports; comfortable using Excel for recurring and ad-hoc reports.
• Strong analytical and problem-solving skills; ability to work with large datasets, identify trends, anomalies, and draw insights.
• Good communication skills — ability to coordinate with different teams/stakeholders, understand requirements, and present data/insights clearly.
• Readiness for night-shift work from office; ability to work independently, meet deadlines and manage time effectively.

JOB DESCRIPTION

Job Title: Digital Marketing Executive

Job Type: Full time

Work Location: Noida sec 62

About Us:-

Tikshark is a creative digital marketing and advertising agency. It provides a variety of online marketing and branding solutions designed to help businesses grow their online presence and reach their target audiences effectively. We specialize in providing comprehensive digital solutions designed to help businesses across the globe achieve their marketing and branding goals. At Tikshark, we don’t just market brands — we make them memorable. Our digital solutions drive visibility, engagement, and success.

JOB SUMMARY:-

We are looking for a passionate and innovative Digital Marketer to join our team at Tikshark. As part of TikShark’s team, you will help build strong digital brand presence and deliver measurable marketing impact for diverse clients. We aren't just hiring for a role; we're hiring for potential.

Roles and Responsibilities:-

· Develop and execute comprehensive digital marketing strategies aligned with client and company goals.

· Design and run paid advertising campaigns on Google Ads, Meta Ads, and other digital platforms to drive traffic and lead generation.

· Coordinate with graphic designers, video editors, and content writers to develop high-quality marketing creative.

· Research competitor activities, market trends, and emerging digital tools to stay ahead in the industry.

· Monitor and analyse campaign performance using tools such as Google Analytics, Meta Business Suite, and Search Console.

· Prepare performance reports, derive insights, and recommend improvements for better ROI.

· Assist in website content updates and landing page optimization to enhance user experience.

· Support influencer marketing and brand collaboration campaigns when required.

Preferred Skills:-

· Strong understanding of SMM, SMO, Digital Marketing fundamentals, and content strategy and email marketing tools.

. Experience in meta ads or google ads and running campaigns.

· Analytical mind set with familiarity in web analytics tools.

· Excellent communication, creativity, and attention to detail.

· Understanding of B2B and B2C marketing concepts.

· Prior experience in social media management is an added advantage.

· Plan, execute, and manage WhatsApp marketing campaigns to engage prospects and customers.

· Knowledge of AI is also an added advantage and utilizing AI tools accordingly for content creation, chat automation, campaign optimization, and analytics.

Benefits:

• Competitive salary
• Professional development opportunities
• Collaborative and vibrant work environment

Experience Required

· 1 – 2 Years (Fresher’s can apply)

Education:

• Bachelor's (Preferred)

Language:

• English (Required)

Key Responsibilities 1. Campaign planning and execution • Build and launch new paid media campaigns for clients and partners on Google Ads, Meta and LinkedIn, plus other channels as relevant. • Manage platforms end to end: budgets, bidding, audiences, creatives, A/B tests and ongoing optimization toward ROI, ROAS and CPL targets. • Keep day-to-day operations aligned with campaign strategy and commercial goals, and deliver work by agreed deadlines. 2. Strategy and market insight • Support the TL in shaping the overall paid media and performance marketing strategy. • Track market trends, seasonality and competitor activity, and apply what you learn to live campaigns. • Stay current on platform updates, new ad formats and industry best practice. 3. Analytics and reporting • Use conversion tracking data and GA4 to find optimization opportunities and improve campaign performance. • Build performance dashboards in Looker Studio or similar tools. • Prepare analysis and insights for fortnightly and monthly client reviews. 4. Client and team collaboration • Contribute to weekly client calls and keep WIPs, roadmaps and client logs up to date. • Handle day-to-day client communication, requests and deliverables, and flag priorities and risks early. • Coordinate with creative, content and tech teams so campaigns support wider business objectives. Requirements • Proven track record of setting up and optimizing campaigns on Google Ads (Search, Display, YouTube, Performance Max), Meta Ads and LinkedIn Ads. • Strong working knowledge of Google Analytics (GA4), Google Tag Manager and conversion tracking setup. • Comfortable with reporting tools such as Looker Studio, and with Excel or Google Sheets for analysis. • Solid understanding of performance metrics (ROAS, CPL, CPA, CTR, CVR, LTV) and how to act on them. • Experience preparing client-ready performance reports and presenting insights in review calls. • Excellent written and spoken English, with confident client communication. • Strong organization: able to prioritize across multiple accounts and meet deadlines. • Analytical, curious and detail-oriented, with a habit of testing and learning.