Job details

Data Analyst / Data Scientist

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This role is for one of the Weekday's clients
Salary range: Rs 300000 - Rs 1200000 (ie INR 3-12 LPA)

Min Experience: 1 years

Location: Remote (India)

JobType: full-time

We’re looking for a passionate and detail-oriented Data Analyst / Data Scientist to join our growing analytics team. This role is perfect for someone who thrives on solving complex problems using data, loves diving deep into datasets, and has a strong command of analytical tools and programming languages.

As a Data Analyst / Data Scientist, you will play a crucial role in helping teams make data-driven decisions by uncovering actionable insights from structured and unstructured data. You’ll work closely with stakeholders across departments—such as product, marketing, and operations—to understand their challenges and deliver meaningful analysis and visualizations that guide strategy and execution.

Key Responsibilities:

Perform exploratory data analysis to identify trends, patterns, and opportunities within large datasets.
Build and maintain dashboards and reports using Tableau to visualize KPIs, performance metrics, and other analytical outputs.
Write efficient, well-structured SQL queries to extract, manipulate, and analyze data from various databases.
Use Python to develop scripts and workflows for data cleaning, transformation, and predictive modeling.
Collaborate with cross-functional teams to define data requirements and deliver insights to support business decisions.
Interpret data and communicate results clearly and effectively to both technical and non-technical stakeholders.
Participate in the development and improvement of data models, pipelines, and quality checks.
Stay up-to-date with industry trends, best practices, and new technologies in analytics and data science.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
1–5 years of experience in a data analyst or data scientist role, preferably in a fast-paced or startup environment.
Strong proficiency in SQL and Python for data manipulation and analysis.
Experience building dashboards and visualizations using Tableau (or similar tools such as Power BI or Looker).
Solid understanding of statistical methods and ability to apply them to real-world business problems.
Strong analytical and problem-solving skills with attention to detail and accuracy.
Excellent communication and collaboration skills, with the ability to present findings in a clear and concise manner.

Nice to Have:

Exposure to machine learning techniques and libraries (e.g., scikit-learn, XGBoost, etc.).
Experience working with cloud-based data platforms (AWS, GCP, or Azure).
Familiarity with version control tools like Git and workflow automation tools like Airflow.

Average salary estimate

$9000 / YEARLY (est.)

min

max

$3600K

$14400K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst / Data Scientist, Weekday AI

If you're passionate about data and thrilled by the idea of transforming raw information into actionable insights, we have an exciting opportunity for you! We're seeking a dedicated Data Analyst / Data Scientist to join our vibrant analytics team at Weekday's client. In this role, you'll engage deeply with complex datasets, using your analytical wizardry to help various teams make informed, data-driven decisions. As a Data Analyst / Data Scientist, you'll be at the forefront of uncovering trends and patterns that drive business strategies. Your day-to-day will involve conducting exploratory data analysis, crafting compelling dashboards with Tableau, and employing SQL to manipulate data efficiently. Not only will you utilize Python to streamline data workflows, but you’ll also collaborate closely with product, marketing, and operations teams to define their data needs. Being able to communicate your findings effectively to both technical and non-technical stakeholders will be key in this role. This is not just a job; it’s an opportunity to grow your skills while staying updated on the latest trends in data science and analytics. If you have 1-5 years of experience in a similar role and a strong foundational knowledge in SQL and Python, we want to hear from you! Join us in making data matter at Weekday’s client where your insights will pave the way for smarter business decisions.

Frequently Asked Questions (FAQs) for Data Analyst / Data Scientist Role at Weekday AI

What are the responsibilities of a Data Analyst / Data Scientist at Weekday's client?

As a Data Analyst / Data Scientist at Weekday's client, you will be responsible for performing exploratory data analysis, building and maintaining dashboards using Tableau, writing SQL queries for data extraction, and utilizing Python for data cleaning and modeling. Your collaborative effort with cross-functional teams will ensure that data requirements are met and insights are effectively communicated.