Data Analyst (m/f/d) at Phiture

, , India -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Predictive Modeling, User Acquisition, Customer Segmentation, Campaign Performance Analysis, Data Visualization, Mobile Apps, Analytical Reporting, Storytelling with Data, Market Research, User Behavior Investigation, Automation, Cohort Analysis, A/B Testing, Dashboard Building

Industry

Business Consulting and Services

Description

Hi, we’re Phiture — the mobile growth consultancy working with the teams behind leading apps like Adobe, Headspace, and LEGO® 👋. We’re setting the standard for growth in the brave new digital world, and we need great people to join our global team! WHAT TO EXPECT: “What are the best-performing user acquisition channels? How should we adjust our user acquisition budgets then?”, “How do our client’s apps rank in the app stores vs. competitors? What could we act on to increase their rankings?”, “What is the impact of our CRM campaigns on user retention?” are the typical questions you will face and provide strategic recommendations on. We’re looking for a passionate data analyst to provide analytic support and strategic recommendations to our client service teams (App Store Optimization, Performance Marketing, CRM). You will be responsible for providing data analysis around the app market and preparing reports using mobile attribution and marketing analytics software. You get to work with one of the world’s leading mobile growth consultancies, with well-known apps, in a friendly and laid-back work atmosphere. WHAT YOU’LL DO: Analyse data and provide reports while sitting with the client service teams, provide recommendations for optimizations Develop data strategies for clients and evolve our approach to analyzing client data Perform data analysis deriving actionable insights: Campaign performance analysis Customer segmentation, profiling Competitive market research User behavior investigation Projections/forecasting Predictive modeling Develop automated processes to collect, measure, and report on app performances Extract data from third-party apps and client databases Support general activities of the company around data and mobile growth Centralize data-related requests to our engineering team to build a systematic process around reporting and insights generation WHAT YOU'LL NEED: At least 2-3 years experience in an analytics function, ideally within user acquisition or retention in a startup or fast-paced environment. Strong storytelling with data skills, with the ability to translate complex analyses into clear strategic insights and communicate findings effectively to clients and non-technical audiences. Strong analytical skills and passion for data, mobile apps, and tech Design/visualization experience for analytical reports Experience with databases, writing SQL queries Storytelling with data, able to communicate strategic insights and data findings Excellent English written communication and verbal skills Enthusiasm for startup culture, open to change, and helping out in different areas Genuine interest in exploring genAI in your work, e.g. using OpenAI API in analytics reporting Nice to have Experience working with mobile measurement partners (MMPs) such as Appsflyer, Adjust, or Singular. Understanding of mobile attribution models, incrementality testing, and SKAN (SKAdNetwork). Hands-on experience with paid UA channels (Meta, Google App Campaigns, TikTok, ASA) and their optimization levers. Familiarity with cohort analysis, LTV modeling, and predictive analytics for mobile apps. Experience building or maintaining dashboards in Looker Studio, Tableau, Power BI, or similar. Knowledge of A/B testing frameworks, experimental design, and result interpretation. Exposure to gaming, subscription apps, or consumer mobile products. Comfort collaborating with creative, media, and product teams to inform strategy. We encourage all qualified individuals to apply, regardless of their age, gender identity, ethnicity, sexual orientation, disability status, or religion. We celebrate diversity and are excited about building teams that represent a variety of backgrounds, perspectives, and skills. All employment decisions are based on qualifications, merit, and business needs.

Responsibilities

The Data Analyst will analyze data and provide reports while collaborating with client service teams, offering recommendations for optimizations. They will also develop data strategies and perform various analyses to derive actionable insights.