Predictive Analytics Analyst (Data Science/ML)
S&P Global
Islamabad, Pakistan
3d ago

The Role : Analyst - Predictive Analytics

Grade : 10

Location : Islamabad, PK

Shift : Evening and Night

The Team : The Commercial Predictive Analytics team is responsible for producing forward-looking actionable insights using data science and machine learning to support the Commercial operating strategy.

The Impact : Help ensure that the deep insights generated through advanced analytics translate into impact for the Commercial organization and SPGMI.

The Career Opportunity :

Our Company prides itself in being an equal opportunity employer and a result-based meritocracy. We set high standards and value accountability for all.

At the same time, we seek to identify and reward exceptional performance with growth opportunities. Based on planned growth & initiatives, you have an opportunity to emerge to roles that are more specialized or grow into a management role.

You’ll gain exposure to our commercial strategy and help shape the Predictive Analytics roadmap, which includes high visibility projects that are expected to deliver significant business value.

In addition, you will have the opportunity to apply your technical know-how while developing a broader spectrum of skills, from front-end business case analysis and project planning to back-end project deployment, communication, and adoption efforts.

What the Hiring Manager is looking for :

In addition to the experience and requirements below, the traits that are most critical for this role are : a positive outlook, a continuous growth and learning mindset, a passion for innovation, resourcefulness with regard to researching potential solutions or connecting with others to gain insight / perspective, comfort with ambiguity, a high level of organization and strong self-motivation.

Responsibilities :

  • Help identify, collect, and prepare the data needed to produce the most useful insights.
  • Utilize working knowledge of AI and analytics to convey business goals to the data science teams who will create the models and solutions.
  • Utilize working knowledge of AI and analytics to build solutions using Salesforce’s Einstein Analytics (EA) platform.
  • Work with data scientists and machine learning engineers to develop analytic solutions to the prioritized opportunities, coordinate the formulation and articulation of the value proposition.
  • Ensure the solution solves the business problems in the most efficient and understandable form for users and produces actionable insights that the business can interpret and execute on.
  • Ensure the timely delivery of insights and solutions, and own the resolution of design issues and risk
  • Lead trials and pilots with end users to test design and capture feedback to improve and iterate models / output
  • Communicate the benefits of these solution / insights to business users to drive adoption
  • Manage medium to large scale projects with stakeholders in various functions across various roles
  • Champion data quality to ensure high quality outputs. Perform quality assurance checks / audit and partner with a QA expert on the data science team to ensure and optimize accuracy
  • Collaborate with Client Analytics and CRM Operations teams on a recurring basis to understand changes in processes e.g.
  • ACV calculation, referrals, new sale crediting etc.

    Basic Qualifications or Requirements :

  • Bachelor’s degree. Specialization in Business, Computer or Data Science, or related field is preferred.
  • Fundamental understanding of machine learning and advanced statistical models and analytics
  • 1-2 years’ experience in a reporting and / or analytics role
  • 1-2 years’ experience in project management or similar role
  • Familiarity working with Salesforce’s Einstein Analytics (EA) platform, including creating datasets and dataflows and visualizing output via a dashboard
  • Fundamental understanding of Python and / or R programming languages
  • Fundamental understanding of database platforms / SQL
  • Proficiency in Microsoft Excel and familiarity with Tableau Software
  • Experience working with the Agile methodology
  • Proven track record of delivering results, with specific projects (and business impact) as examples
  • Strong interpersonal skills to develop productive relationships with business partners and other teams across the org
  • Strong communication skills to capture and convey project requirements, and explain analytical solutions and benefits to end users in easy, understandable format
  • Understanding of commercial business, org structure, and goals
  • About S&P Global Market Intelligence :

    At S&P Global Market Intelligence, we know that not all information is important some of it is vital. Accurate, deep and insightful.

    We integrate financial and industry data, research and news into tools that help track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuation and assess credit risk.

    Investment professionals, government agencies, corporations and universities globally can gain the intelligence essential to making business and financial decisions with conviction.

    S&P Global Market Intelligence is a division of S&P Global (NYSE : SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence.

    For more information, / marketintelligence.

    S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race / ethnicity, sex, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.

    20 - Professional (EEO-2 Job Categories-United States of America), SLSGRP202.1 - Middle Professional Tier I (EEO Job Group)

    Job ID : 260041

    Posted On : 2021-03-18

    Location : Islamabad, Pakistan

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