We are looking for an experienced business analyst to join our team. The ideal candidate will have 2-8 years of experience in web mobile user client data analyst for start-ups, with a strong passion to help start-ups and a proven track record to bring the strong business insight to improve the sales, marketing, user, client, ui, ux of the organisation.
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 liaison between client and technical team
Create wireframe | prototype | feature list | srs | brd flow diagrams as per the clients requirement
High it literacy proven use of web and associated technologies (excel, power point, 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, qa, 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 ltv/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 ios 14 and upcoming android privacy changes and we can navigate tracking in light of these changes
Pov on transition to skan 4.0
Working knowledge of statistical techniques (regression, k-means clustering, pca)
Experience with lift studies and marketing mix modeling working experience with python, r, dbt
Experience at a small company
Experience with a subscription business
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.
Qualification
Masters or bachelor degree in computer science
Well-versed with its technologies
2+ years of business analysis or project analysis experience
Tech-savvy with proficiency in Microsoft office, google apps, and other web and mobile applications
Excellent written and verbal communication skills
Self-motivated, flexible, and comfortable with a fast-paced startup environment
Advanced experience with Excel, google sheets including an understanding of visualizations, pivot tables, vlookup, and other key functions
Experience with adobe analytics, google analytics, tableau, SQL, and data grid is a plus.
Strong analytical and problem-solving skills, with clear attention to detail
Ability to prioritize and work under tight deadlines
Fast learner, able to master new concepts, theories, ideas, and processes with ease
Experience creating user acquisition reports and dashboards
Deep understanding of mobile attribution, cohort analysis, customer segmentation, and ltv modeling
Experience pulling data and creating databases using an API of at least one of these ad platforms; Facebook, Snapchat, TikTok, google ads, applovin
Experience with the architecture and deployment of mobile tracking solutions, including SDK integration, ad platforms APIs, server-postbacks, and mmp providers such as Appsflyer, adjust, kochava
