Lead Data Analytics

Semi Stealth Mode startup in Delhi

Lead Data Analytics

Qrata

Company

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Lead Data Analytics

at Semi Stealth Mode startup in Delhi

Agency job

via Qrata

3 - 6 yrs

₹35L - ₹40L / yr

Delhi, Gurugram, Noida, Ghaziabad, Faridabad

Skills

Data Analytics

Python

Data Visualization

SQL

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1. Data Strategy and Vision:

· Develop and drive the company's data analytics strategy, aligning it with overall business goals.

· Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2. Data Analysis and Interpretation:

· Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

· Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3. Data Infrastructure and Tools:

· Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

· Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4. Collaboration and Stakeholder Management:

· Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

· Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5. Performance Measurement:

· Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

· Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

Key Responsibilities:

1. Data Strategy and Vision:

· Develop and drive the company's data analytics strategy, aligning it with overall business goals.

· Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2. Data Analysis and Interpretation:

· Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

· Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3. Data Infrastructure and Tools:

· Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

· Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4. Collaboration and Stakeholder Management:

· Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

· Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5. Performance Measurement:

· Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

· Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie

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