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Job Description
<div> <p> <strong> Data Analyst </strong> </p> <p> <strong> Fully Remote </strong> </p> <p> <strong> 5+ month contract (Likely Extension) </strong> </p> <p> <strong> $90-$100/HR W2 DOE </strong> </p> <p> <br/> </p> <p> <br/> </p> <p> <strong> Job Summary </strong> </p> <p> We are looking for a senior data scientist to use quantitative background to dive into large datasets to guide decision-making. This individual will be driving the efforts on the Growth team, which enables the company to seamlessly talk to its users to maximize the long-term impact. We build features that help scale how we communicate and target users across different user lifecycles. This role will drive scaling adoption of platform usage through experimentation, identifying opportunities through exploratory analysis and measuring incremental impact. You will have to work closely with cross functional teams (like product and engineering) and if you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, marketing or beyond, we’re looking for someone like you! </p> <p> <br/> </p> <p> We’re excited about you because… </p> <p> A degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain </p> <p> 6 to 9 years of experience in data analytics, consulting, or related quantitative role </p> <p> <br/> </p> <p> Skills : </p> <p> Required </p> <p> -Expertise with SQL, A/B Testing & Experimentation </p> <p> <br/> </p> <p> Nice to Have </p> <p> - Statistical analysis (e.g. hypothesis testing, experimentation, regressions) using tools like R or Python </p> <p> - Understanding of causal inference methodologies (e.g. match markets, synthetic control) and other experimentation/quasi-experimentation methods preferred </p> <p> - Basic understanding of brand marketing, marketing channels and metrics would be preferred </p> <p> - Proficiency in one or more analytics & visualization tools (e.g. Sigma, Looker, Tableau) </p> <p> - The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way </p> <p> - The determination to initiate and lead projects to completion in a scrappy environment with good communication skills </p> <p> - Able to work in a fast-paced work environment, detail oriented and can independently deal with ambiguous issues on your own. </p> <p> <br/> </p> <p> <br/> </p> <p> Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. </p> </div>
AI Powered Job Insights
Exciting opportunity for a Data Analyst position with Russell Tobin! They are searching for an experienced professional to leverage their quantitative skills to analyze large datasets, aimed at guiding decision-making processes on the Growth team. 📍 Location: Fully Remote 💼 Position: Data Analyst ⏰ Type: 5+ month contract (Likely Extension) 💰 Compensation: $90-$100/HR W2 DOE 📅 Date Posted: 2024-07-19 Role Summary: - The Data Analyst will play a key role in enhancing platform communication and targeting users throughout different lifecycles. - They will conduct exploratory analysis and measure experimental impacts to drive scalable platform usage. - Collaboration with cross-functional teams (such as product and engineering) is essential for success in this role. What You'll Do: - Dive into large datasets to derive insights for decision-making. - Utilize SQL, A/B testing, and experimentation to drive efforts for the Growth team. - Identify opportunities and measure the incremental impact of different strategies. What's Needed: - A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar field. - 6-9 years of experience in data analytics or a related quantitative role. - Experience with SQL, A/B testing, and experimentation is required. - Familiarity with statistical analysis (e.g. hypothesis testing, regressions) using R or Python is a plus. - Understanding of causal inference methodologies and brand marketing metrics is preferred. - Proficiency in analytics and visualization tools (e.g. Sigma, Looker, Tableau). - Strong problem-solving skills with the ability to manage ambiguous issues independently.
Top Interview Questions
A: I have led multiple A/B testing initiatives, where I typically start by identifying clear objectives aligned with business goals. For example, if we're testing a new feature, I would track metrics such as conversion rate, bounce rate, and user engagement. I ensure that we have a sufficient sample size to achieve statistical significance and analyze results using tools like R or Python for deeper insights. Post-experiment, I also perform hypothesis testing to validate our assumptions.
A: In a previous role, I was tasked with understanding why user engagement was declining over time. I approached the problem by performing exploratory data analysis to identify trends and anomalies. Using SQL, I segmented users based on their activity and overlayed demographic data to find correlations. This revealed that specific user segments were not engaging, leading to targeted marketing strategies that ultimately boosted engagement by 20%.
A: To maintain data integrity, I implement a rigorous process that includes data validation at the import stage and continuous monitoring during analysis. I use SQL for initial data checks and write scripts in Python to automate these checks. Additionally, I document each step of my analysis for transparency and conduct peer reviews to catch any discrepancies early on.
A: In a past project, I analyzed user feedback data to identify pain points in our product. My analysis revealed that users had difficulties with a specific feature, which led to a redesign effort. I presented my findings to stakeholders with data visualizations, which helped to secure buy-in for the project. As a result, post-implementation user satisfaction scores increased significantly.
A: I prioritize tasks based on urgency and impact, using a matrix to categorize projects. I focus on projects that align closely with company goals and have clear deadlines. Additionally, I maintain open communication with stakeholders to ensure alignment and adjust priorities as needed. Daily stand-ups help keep the team informed and allow for rapid reallocation of resources if priorities shift.
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Salary Benefits
$90 - $100 /year

Want to apply directly?
Apply for the Data Analyst position at Russell Tobin in using https://www.linkedin.com/jobs/view/3978252432


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