Technical Business Analyst

Role Overview

We are looking for a versatile, analytically driven professional who seamlessly bridges the worlds of software development, business analysis, and product analytics. In this hybrid role, you will translate complex business requirements into scalable technical solutions, drive data-informed product decisions, and collaborate across Engineering, Product, and Business stakeholder teams. You will own end-to-end delivery — from requirements gathering and process design to hands-on coding, data analysis, and product insight generation.

Key Responsibilitie

s1. Business Analysi

sElicit, document, and manage business requirements through workshops, interviews, and stakeholder collaboration

.Create comprehensive BRDs, FRDs, user stories, use cases, process flows, and wireframes

.Conduct gap analysis and impact assessments for new features and business process changes

.Translate business needs into clear, actionable epics and sprint-ready user stories

.Facilitate cross-functional alignment between product, engineering, operations, and business teams

.Manage and maintain a well-groomed, prioritized product backlog

.

2. Software Developme

ntDesign and develop scalable backend services, APIs, and data pipelines using Python, Java, or Node.j

s.Build internal tools, dashboards, and automation scripts to support business operations and analytic

s.Collaborate with engineering squads during sprint planning, code reviews, and retrospective

s.Confidential — Internal Use Only | Page 2 of

4Write clean, testable, production-quality code following SOLID principles and CI/CD best practice

s.Participate in architecture discussions, contribute technical POCs, and document technical decision

s.Integrate third-party tools, SaaS platforms, and data sources via REST/GraphQL API

s.

3. Product & Data Analy

sisDefine, track, and analyze product KPIs — adoption, retention, activation, engagement, and revenue metri

cs.Build self-serve dashboards and reports using BI tools (Tableau, Power BI, Metabase, or Looke

r).Conduct A/B tests, funnel analysis, cohort analysis, and feature-level impact studi

es.Derive actionable insights from large datasets using SQL, Python (Pandas, NumPy), and statistical metho

ds.Own the analytics instrumentation — define events, taxonomies, and tracking plans (Mixpanel, Amplitude, Segmen

t).Support product roadmap decisions with data-backed hypotheses and opportunity sizi

ng.

4. Stakeholder & Process Manage

mentAct as the primary liaison between technical teams and non-technical business stakehold

ers.Present findings, recommendations, and product updates to senior leadership and C-su

ite.Identify process inefficiencies and propose automation or re-engineering soluti

ons.Support UAT planning, test case design, and sign-off coordination with business te

ams.Maintain thorough documentation on confluence/Notion and ensure knowledge trans

fer.

Required Skills & Qualifica

tionsTechnical S

killsLanguages: Programming Python (Pandas, Flask/FastAPI), JavaScript/Node.js, or Java — at least one proficie

ntly.SQL: Database & Que

ryingAdvanced SQL — PostgreSQL, MySQL, or BigQuery; data modeling and query optimiza

tion.Analytics &

; BI:Tableau / Power BI / Looker / Metabase; strong data visualization sk

ills.Product Analytics T

ools:Mixpanel, Amplitude, Google Analytics 4, Segment, or equiva

lent.Version Control & Dev Pract

ices:Git, CI/CD pipelines (GitHub Actions / GitLab CI / Jenkins), Agile/S

crum.

Business & Analytical

SkillsExpertise in BPMN, UML, user story writing, and requirements document

ation.Strong experience with Agile/Scrum methodologies; JIRA, Confluence, Notion, or equiv

alent.Ability to perform statistical analysis, hypothesis testing (A/B), and cohort/funnel ana

lysis.Excellent communication — ability to explain technical concepts to non-technical stakeho

lders.Data-driven mindset with a structured problem-solving app

roach.

Nice

to HaveExperience with cloud platforms (AWS, GCP, or Azure) and data warehouse technologies (Redshift, Snowflake, Bi

gQuery).Familiarity with ETL/ELT pipelines, dbt, or

Airflow.Knowledge of machine learning concepts or experience with predictive an

alytics.Exposure to product-led growth (PLG) frameworks and

metrics.Certifications: CBAP, PMI-PBA, AWS Solutions Architect, or Google Data An

alytics.Experience in B2B SaaS, FinTech, HealthTech, or eCommerce product envir

onments.

EducationBachelor's or Master's degree in Computer Science, Information Technology, Engineering, Business Analytics, or a relat

ed field.Equivalent practical experience with a strong portfolio of cross-functional projects is equall

y valued.