Senior Data Analyst

Design, develop, and maintain reports and dashboards using

BI tools

(preferably Looker). Write

intermediate SQL queries

to analyze, extract, and prepare data from our databases. Collaborate with product and marketing teams to implement and optimize

event tracking

on websites using tools like

Heap

or

Google Analytics

• . Support ad-hoc data analysis requests to inform business strategy and operations. Communicate findings and insights clearly to non-technical stakeholders in English, driving data-driven decisions across teams. Ensure data quality and integrity in all reporting and analysis. Proactively identify and resolve data quality issues or inconsistencies. Required Qualifications :

Education :

Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Business Analytics, or a related discipline). Experience :

At least

4 years

of experience in data analysis or a related role. Technical Skills : At least Intermediate Proficiency in

SQL : Capable of writing

joins

subqueries

, and

CTEs

with ease. Proficient in performing

data transformations

aggregations

, and

calculations

for analytical purposes. Good understanding of

conditional logic

(e.g., CASE statements) and

basic window functions

(e.g., RANK, ROW_NUMBER). Comfortable debugging queries and identifying data discrepancies. Exposure to query optimization techniques for improved performance. Hands-on experience with

BI tools

, preferably

Looker

• . Analytical Expertise :

Strong problem-solving skills and the ability to interpret and analyze data to generate actionable insights. Event Tracking :

Understanding of

web event tracking

concepts and experience working with tools like

Heap

or

Google Analytics

• . Communication :

Excellent communication skills in

English

, with the ability to explain technical insights to non-technical audiences. Remote Work Experience :

Comfortable working remotely, with proficiency in using tools like Slack, Zoom, and Google Workspace. Soft Skills :

Strong organizational skills, attention to detail, and the ability to work independently and meet deadlines. Nice-to-Have :

Experience with

dbt

for data modeling. Familiarity with crowdfunding platforms or the fintech domain. Exposure to scripting languages like Python or R for advanced analytics. Basic understanding of

data pipeline automation

tools (e.g. Airbyte, Hightouch).

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