Senior Business Analyst

PromiloKA, IndiaApril 17, 2026

Job Description

JOB DESCRIPTION:

We are looking for a business analyst to join our team. The ideal candidate will have knowledge in web & mobile user & client data analyst for start-ups, with a strong passion for helping start-ups and a proven track record to bring the strong business insight to improve the sales, marketing, user, client, UI, UX of the organization.

ROLES & RESPONSIBILITIES:

Requirement gathering and analyzing
Conduct gap analysis, assess scope & suggest solutions
Responsible for technical proposal writing and time and cost analysis for web and mobile application development
Preparing RFP /RFQ
Would be involved in presales activities
Work as a liaison between client and technical team
Create wireframe | prototype | feature list | SRS | DRD & flow diagrams as per the client's requirement
High IT literacy proven use of web and associated technologies (excel, powerpoint, google apps).
Previous experience with data visualization tools (tableau, power bi, etc.), is strongly preferred.
Cleanse and curate sourced data into standardized reporting templates
Create, document, validate and ensure delivery of ad hoc, daily weekly, and monthly reports to internal stakeholders
Create, validate and deliver tracking links for the marketing department
Assist in the creation, GA, validation and reporting of a/b and multivariate tests
Proactively monitor the marketing KPIS and UA data on a daily basis
Analyze marketing UA performance and conduct deep dive analysis to answer hypotheses and questions posed by the team
Gather, transform, and analyze digital marketing data, including paid media, search, social, website, and conversion funnel analytics
Analyze marketing data searching for top of funnel growth opportunities
Analyze product data searching for insights to increase app engagement, conversion, and retention
Analyze ITV/ CAC drivers to support overall business growth
Partner with marketing, product, and growth teams
Present findings to stakeholders and make recommendations for spend targets and campaign strategies
Pov on IOS14 and upcoming android privacy changes and we can navigate tracking in light of these changes
Working knowledge of statistical techniques (regression, k-means clustering, pca)
Experience with lift studies and marketing mix modeling working experience with Python, R, & DBT
Analyze website and mobile app data on traffic sources and patterns. Provide insight on data trends and anomalies, making recommendations where appropriate to improve business performance.