Data Analyst (Female)

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

🔍 We’re Hiring: Data Analyst – Sales & Marketing Operations 🕘 Working Days : Monday to Friday (Morning Shift) 🚫 Note : No cabs/travel provided 💰 Salary : Up to ₹7.5 LPA (Max. 35% hike on the last drawn CTC) About the Role We are seeking a highly analytical and detail-oriented Data Analyst to own the complete data management lifecycle and drive data-driven decision-making across Sales, Marketing, and Business teams. The ideal candidate will have a deep understanding of CRM systems, data hygiene practices, and marketing automation tools. Key Responsibilities: Own the end-to-end data lifecycle – hygiene, cleansing, validation, enrichment, and integration. Collaborate with Sales, Marketing, IT, and Conference teams to translate data into actionable insights. Ensure CRM data integrity in tools like HubSpot, Salesforce, Zoho . Define and manage SOPs for data acquisition and enrichment. Build reporting and dashboards using Tableau, Power BI, or Google Data Studio . Conduct market research and maintain high-quality lead databases. Use tools like LinkedIn Sales Navigator, Zoominfo, Apollo.io, Hoovers for intelligence gathering. Automate data tasks using SQL, Python, or other scripting tools . Maintain compliance with data privacy regulations (e.g., GDPR, CCPA). Drive continuous improvement through performance monitoring and insight generation. Manage drip campaigns and segmentation logic in Mailchimp, Zoho Campaigns, or HubSpot . Who You Are: 5+ years of experience in data analytics, ideally in sales/marketing operations. Proficient in Advanced Excel, SQL, Tableau/Power BI ; familiarity with HTML/CSS. Hands-on experience with HubSpot, Salesforce, Zoho CRM . Exposure to MySQL , with Python or R being a strong plus. Experienced in managing timelines and collaborating across teams. Strong problem-solving skills and a data-driven mindset. Knowledge of data governance and compliance best practices. Bonus: Exposure to machine learning or predictive analytics. Why Join Us? 5-day work week – Monday to Friday (Fixed Sat-Sun off) Work with a collaborative and data-forward team Opportunity to lead cross-functional data initiatives Competitive compensation up to ₹7.5 LPA Show more Show less

Mock Interview

Practice Video Interview with JobPe AI

Start Data Interview Now

My Connections Three Across

Download Chrome Extension (See your connection in the Three Across )

chrome image
Download Now

RecommendedJobs for You