Strategic Data Architect

3 days ago

Islamabad, Islamabad, Pakistan beBeeData Full time 9,000,000 - 12,000,000
Senior Data Strategist Position

The role of Senior Data Strategist involves collaborating with cross-functional teams to develop innovative solutions that drive business growth.

This senior-level position requires a high degree of technical expertise, strong analytical skills, and the ability to communicate complex ideas effectively.

  • Lead data exploration activities to understand customer requirements and develop strategic recommendations.
  • Conceptualize and implement solutions to address business challenges.
  • Develop ready-to-engage collateral that highlights key benefits and value propositions.
  • Utilize advanced analytics tools and machine learning frameworks to deliver insights-driven solutions.
  • Participate in brainstorming sessions to propose innovative solutions and analytics strategies.
  • Collaborate with account teams to build solution showcases and support high-end customer pitches.
  • Support pre-sales initiatives by positioning solutions to customers and building estimations.
  • Provide mentoring and guidance to junior team members on data-driven decision-making.
Key Qualifications

Minimum Bachelor's degree in Data Science, AI, Engineering, Computer Science, or Statistics.

10+ years' experience in a data-driven field (e.g., BI, DWH, Analytics). Experience in data analysis is a plus.

Strong hands-on experience with programming languages (e.g., R, Python, Java).

Comfortable with and experienced using SQL.

Significant familiarity with statistical concepts. In-depth understanding is a plus.

In-depth understanding of machine learning concepts and statistical modeling.

Exposure and experience with artificial intelligence and deep learning.

Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).

Ability to analyze customer technology, define business requirements, and participate in risk analysis activities.

Strong requirement elicitation and analysis skills.

Cloud computing experiences would be a plus (Azure /AWS/Google).

Experience of Teradata platform would be a plus.

Experience as a technical lead both in pre-sales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus.

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