SENIOR DATA ANALYST

We are on the lookout for a dynamic Data Analyst who thrives in the realm of large,intricate datasets.
If you possess exceptional analytical skills, a knack for quicklyextracting basic data, and a talent for conveying insights clearly, you might be the rightfit for our team.
We need someone comfortable navigating uncharted territories,employing out-of-the-box approaches in an environment that's both unstructured andambiguous.
As a self-starter, you should be prepared to roll up your sleeves, adaptswiftly to rapidly changing business needs.
s you grow into the role, you'll evolve into a trusted partner for our Field teams,providing insights on 'Everything data.' Understanding the taxonomy and value of dataacross our business and products will be crucial.
Post-ramp up, you'll independentlyown analyses, make recommendations, manage critical dashboards, and presentdirectly to our customers.
ey Responsibilities.
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Data Collection, Cleaning, and Explorationa.
Acquire, preprocess, and clean large datasets from diverse sources,ensuring data quality and integrity for precise analysis.
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Conduct exploratory data analysis, identifying patterns, trends, outliers,and potential challenges in the dataset.
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Preparation of executive-ready presentationsa.
Distill key messages from extracted data and present them effectively onslides.
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Ensure slides are client-ready, minimizing duplication of efforts by fieldteams.
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Partnership with Internal teams.
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Collaborate with cross-functional teams, including Customer Success,Sales, and Product deeply understand requirements and deliver maximumbusiness impact.
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Cultivate strong relationships with field teams, becoming an effectivepartner throughout the sales cycle.
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Data Visualization and ownership of certain assets.
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Create clear and compelling visualizations using tools like Tableau andSisense to communicate complex findings to non-technical stakeholders.
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Own critical dashboards for GTM teams, ensuring relevance to newproduct launches.
Competitive salary 100% remote work Workspace setup bonus $400 USD gross Bonuses in September and December, $300 USD gross each Company laptop Floating day (Ex.
Birthday off) 20 working days of vacation after the first year of employment 6 paid days off (PTO’s) English Online Training Additional Programs.
SD $500 if you bring a new employee using our referral program.
2+ years of data manipulation and querying experience (e.
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SQL) Familiarity with cloud computing platforms (e.
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Snowflake, AWS) Proficiency in data visualization tools (e.
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Tableau, Sisense) Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Bachelor’s Degree in Computer Science / Business / Mathematics or similar field