Data Analyst, data.ai
$100-120k
Mobile market data & analytics platform
Be an early applicant
Mobile market data & analytics platform
501-1000 employees
Be an early applicant
$100-120k
501-1000 employees
Company mission
To help brands, publishers, and investors with strategies to succeed in the mobile and digital ecosystem, based on premium insights, prescription, and execution.
Role
Who you are
- This pivotal, highly visible role is designed for an emerging professional with 3-5 years of experience and who possesses a robust interest in public markets, business dynamics, and sophisticated financial analysis
- The ideal candidate will thrive in an ambiguous environment and possess the self-starter mentality often developed in roles like sell-side research, entry-level strategy consulting, or similar quantitative roles
- Experience: 3 to 5 years of professional experience in a highly analytical, quantitatively driven role, with a strong preference for backgrounds in Sell-Side Research, Equity Analysis, Management Consulting, or Similar quantitative roles
- Academic Rigor: Bachelor's degree in a highly quantitative discipline such as Mathematics, Statistics, Economics, Finance, or similar
- Advanced Quantitative Acumen: Demonstrated mastery of quantitative techniques, statistical analysis, and complex data manipulation. Must possess a proven ability to calculate inferring non-explicit metrics from public financial statements and operational data
- Business and Market Intuition: A demonstrable, deep-seated interest in public equity markets, industry dynamics, and an ability to navigate and comprehend the nuances of regulatory filings (10-K, 10-Q, 8-K)
- Technical Proficiency: Strong command of SQL for data extraction and manipulation, and working proficiency in Python or R for statistical analysis. Familiarity with version control systems (i.e., Git/GitHub) is required
- Intellectual Autonomy/ Self-Starter: Exceptional self-motivation and the capacity to operate with a high degree of independence. Must be proactive in identifying analytical opportunities rather than simply executing directed tasks
- Precision and Attention to Detail: An unwavering commitment to data accuracy and analytical precision, capable of producing work that withstands rigorous internal and external scrutiny
- Executive Communication: Ability to distill complex quantitative findings into clear, concise, and actionable insights, both written and verbal, for both technical and non-technical audiences
What the job involves
- We are seeking a highly motivated and quantitatively adept Data Analyst to join our Sensor Tower team
- The core function of this role is to act as the primary quantitative auditor of our proprietary SaaS platform's business estimates
- You will proactively and autonomously investigate discrepancies between our internal forecasts and publicly reported data (e.g., active users, revenue, growth metrics from public company filings)
- This is not a standard reporting role; it requires a strong intellectual curiosity, an ability to back into complex, non-obvious metrics using publicly available documentation (10-Ks, 10-Qs, Investor Presentations), and the ability to articulate findings that directly impact our core product and client messaging
- Quantitative Audit and Discrepancy Analysis: Proactively conduct sophisticated, high-fidelity comparisons between proprietary company estimates and publicly available information to identify material variances
- This includes rigorously researching differences in underlying definitions, methodological frameworks, and reporting methodologies
- Reconciling and Reverse-Engineering Estimates: Employ advanced quantitative techniques to infer or back-solve for proprietary financial and operational metrics from fragmented publicly disclosed data
- This demands a nuanced understanding of regulatory filings (e.g., extracting non-GAAP to GAAP reconciliations or segment reporting details)
- Documentation and Knowledge Repository Contribution: Create clear and concise analytical documentation, including a full trace of the quantitative proof
- Maintain and contribute this analysis, complete with reproducible data trails, to the team's shared GitHub repository
- Cross-Functional Impact Assessment: Collaborate closely with the Data Science and Engineering teams to model the collateral impact of a fundamental estimate change across the firm's broader suite of financial models and forecasts
- Stakeholder Communication and Enablement: Support the Data Science, Sales, and Client Success teams by developing clear, compelling, and accurate messaging that articulates the rationale behind our estimate methodology, the nature of identified discrepancies, and the impact of changes
Our take
The mobile app market continues to grow, and it is more important than ever for consumer companies to stay ahead of the competition. Even small improvements in marketing spend (to acquire customers) or customer engagement (to drive revenues) can bring huge value for companies that rely on mobile apps, making this a key target for a growing number of businesses.
Data.ai launched at a time where mobile apps were still nascent, and has since become the go-to place for any mobile app analytics. With millions of connected apps, the product has a huge volume of data available for its customers, and it will be hard for any competitor to catch up. Customers like Amazon, McDonalds, Lego, and Samsung stand as bold indicators of the company's offering, with further success to be expected in its future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jan 2016
$63m
SERIES E
Jan 2015
$55m
SERIES D
Total funding: $157m
Company benefits
- $1,000 (Country equivalent) reimbursable WFH allowance to set you up for remote work success
- Internet allowance
- Flexible working days
- Paid leave
- Health and dental benefits
- An international team of talented and engaged people from different cultural backgrounds and locations
- Wellbeing allowance for any activity that matters to your wellbeing
- Unlimited access to online learning platform Udemy to help you develop your skills
- Virtual initiatives and events to keep you connected with your colleagues
- Work from home opportunities
- Health insurance
Company HQ
Financial District, San Francisco, CA
Leadership
Bjørn Stabell
(Board Member)CEO and Co-Founder of Early Orbit. Also founded Exoweb (software development outsourcing in China) and grew it from 4 to 80 people. Previously CTO at Ogilvy.
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