Senior Data Analyst

1 month ago

Bengaluru, India DMAIC Academy & Consultancy Full time
Job Title: Senior Data Analyst - Operations (SaaS)

Job Summary:

As the Senior Data Analyst - Operations in a SaaS environment, you will harness data to enhance operational efficiency, support strategic decisions, and drive overall business success. Working with cross-functional teams—including product, marketing, sales, customer success, finance, and engineering—you’ll deliver actionable insights to support data-driven operational goals aligned with company objectives. The ideal candidate will bring experience in SaaS operations, advanced analytics skills, and a proven ability to leverage data for process improvement.

Key Responsibilities:

Data Collection & Management:

- Gather, clean, and manage data from sources like CRM, customer usage, and billing systems.- Ensure data integrity, accuracy, and consistency across departments.- Collaborate with IT and data engineering to optimize data pipelines and storage.

Data Analysis & Insights:

- Analyze data to identify operational inefficiencies, trends, and opportunities for improvement.- Offer data-driven recommendations for SaaS operations and product efficiency.- Perform root cause analysis on operational bottlenecks to enhance performance.

KPI Tracking & Reporting:

- Define and monitor KPIs, such as NPS, resolution times, system uptime, and renewal rates.- Report KPIs to senior leadership, translating data into actionable insights.- Develop dashboards and visualizations using Tableau, Power BI, or Looker.

Process Improvement:

- Work with teams to identify and address process inefficiencies in the SaaS customer lifecycle.- Use data to optimize customer success efforts and reduce churn.

Forecasting & Predictive Analytics:

- Build models to forecast trends like churn, revenue growth, and support demand.- Deliver insights for resource planning and optimize decision-making.

Automation & Integration:

- Identify automation opportunities in operational workflows.- Integrate data from SaaS tools (e.g., Salesforce, Gainsight, Zendesk) into analytics platforms.

Collaboration & Stakeholder Engagement:

- Partner with teams across the organization to align data initiatives with business goals.- Present findings and recommendations to senior leadership.

Qualifications:

- Education: Bachelor's in Data Science, Statistics, Computer Science, Operations Research, or related field; Master’s preferred.- Experience: 10+ years in data analysis, with at least 4+ years in SaaS or tech environments.- Technical Skills:- Proficiency in SQL and experience with tools like Python, R, and Excel.- Expertise in data visualization (Tableau, Looker, Power BI).- Familiarity with SaaS metrics (MRR, ARR, CAC, LTV, churn) and tools like Salesforce, HubSpot, Zendesk.- Knowledge of statistical analysis and predictive modeling.

Preferred: Experience in SaaS or tech companies, Google Data Analytics certification, or Lean/Six Sigma experience.

Key Attributes:

Analytical, collaborative, detail-oriented, and proactive in driving data-driven improvements with strong organizational and communication skills.

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