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 quickly
extracting basic data, and a talent for conveying insights clearly, you might be the right
fit for our team. We need someone comfortable navigating uncharted territories,
employing out-of-the-box approaches in an environment that's both unstructured and
ambiguous. As a self-starter, you should be prepared to roll up your sleeves, adapt
swiftly to rapidly changing business needs.
As 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 data
across our business and products will be crucial. Post-ramp up, you'll independently
own analyses, make recommendations, manage critical dashboards, and present
directly to our customers.

Key Responsibilities:

1. Data Collection, Cleaning, and Exploration
a. Acquire, preprocess, and clean large datasets from diverse sources,
ensuring data quality and integrity for precise analysis.
b. Conduct exploratory data analysis, identifying patterns, trends, outliers,
and potential challenges in the dataset.
2. Preparation of executive-ready presentations
a. Distill key messages from extracted data and present them effectively on
slides.
b. Ensure slides are client-ready, minimizing duplication of efforts by field
teams.

3. Partnership with Internal teams:
a. Collaborate with cross-functional teams, including Customer Success,
Sales, and Product deeply understand requirements and deliver maximum
business impact.
b. Cultivate strong relationships with field teams, becoming an effective
partner throughout the sales cycle.

4. Data Visualization and ownership of certain assets:
a. Create clear and compelling visualizations using tools like Tableau and
Sisense to communicate complex findings to non-technical stakeholders.

b. Own critical dashboards for GTM teams, ensuring relevance to new
product launches.

2+ years of data manipulation and querying experience (e.g. SQL)
Familiarity with cloud computing platforms (e.g. Snowflake, AWS)
Proficiency in data visualization tools (e.g. 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

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:

USD $500 if you bring a new employee using our referral program.

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Senior Data Analyst