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Analytics Modeller

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Ford Motor Company

5d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Business, Operations & Strategy
  • Chennai

AI generated summary

  • You should have experience in BI dashboard design, Python/SAS/R/SQL, data analysis, GCP, visualization tools, and AI/ML. A quantitative degree and strong communication skills are essential.
  • You will analyze data, create reports and dashboards, collaborate with teams to identify insights, and develop statistical models to enhance decision-making and business strategies.

Requirements

  • Knowledge of Business Intelligence dashboard design
  • Experience in Python, SAS, R and/or SQL
  • Ability to collect, consolidate and analyze data from multiple sources
  • Ability to work with & manipulate large sets of data
  • Working knowledge of Excel, Word, & PowerPoint
  • Analytical mind with a problem-solving aptitude
  • Strong written and verbal communication skills and ability to work in global environment
  • Attention to detail
  • Ability to operate in a team environment, with excellent interpersonal skills
  • Ability to manage multiple projects and responsibilities at once
  • Experience in Google Cloud Platform (GCP), BigQuery, GCP data products, GCP analytics products, GCP visualization products
  • Experience with statistical analysis, descriptive analytics, predictive analytics, and prescriptive analytics.
  • Experience with data visualization tools like Qliksense/PowerBI/Google Looker/Tableau/Excel
  • Experience developing complex but efficient data queries by joining data from disparate data-sources to derive critical insights. These will be visualized on the dashboards.
  • Interest in learning new technologies
  • A combination of strong technical proficiency, analytical thinking, communication, and collaboration across cross-functional teams.
  • A strong acumen for developing a deep understanding of digital products, their success metrics, and translating those to the data querying and visualization needs for reporting and dashboarding. Further, designing and developing the queries, and visualization solutions based on those needs.
  • Bachelor’s degree in a quantitative field such as Statistics, Biostatistics, Mathematics, Computer Science, Econometrics, Physics, Engineering, Data Science
  • Master's or PhD
  • Experience using AI/ML and/or statistics in an applied/industry environment
  • Ability to translate complex quantitative methods into business insights and present to a non-technical audience

Responsibilities

  • - Collaborate with cross-functional teams to understand the business, customer personas and customer pain points, and develop a strong understanding of Ford Credit business to provide the right analytical solutions.
  • - Responsible for collecting and analyzing data to provide valuable insights to product teams.
  • - Responsible for data analysis, data mapping, data extraction, data preparation, data cleansing, data querying, and data visualization.
  • - Generate reports and analyses and present findings to aid decision-making.
  • - Aggregate large data sets in Tableau, PowerBI, Excel, Qliksense, GCP Looker, GCP BigQuery or other analytical tools for analysis.
  • - Contribute to data collection discussions, identifying critical information and data sources.
  • - Create, validate, deploy, and monitor performance of statistical models based on large datasets.
  • - Create and maintain dashboards, automated reports, report templates & presentations using data visualization tools such as Tableau or Power BI. Responsible for producing reports on daily/weekly/monthly reporting on business trends and the status of digital experience.
  • - Leverage a wide range of statistical techniques and tools.
  • - Ensure overall quality of the data and solutions throughout the analytical development process.
  • - Create business-critical data visualizations and compelling stories and presentations from data.
  • - Designing, developing, deploying and maintaining business intelligence and analytics solutions that turn data into knowledge.

FAQs

What qualifications are required for the Analytics Modeller position?

A Bachelor’s degree in a quantitative field such as Statistics, Biostatistics, Mathematics, Computer Science, Econometrics, Physics, Engineering, or Data Science is required.

Is a Master's or PhD degree preferred for this role?

Yes, having a Master's or PhD degree is considered advantageous for this position.

What programming languages and tools should candidates be familiar with?

Candidates should have experience in Python, SAS, R, and/or SQL, as well as familiarity with Google Cloud Platform (GCP) and data visualization tools like Qliksense, PowerBI, Google Looker, Tableau, and Excel.

What are the primary responsibilities of the Analytics Modeller?

The primary responsibilities include collecting, consolidating, and analyzing data from multiple sources, generating reports and analyses, creating and maintaining dashboards, and providing insights to aid decision-making.

Are strong communication skills necessary for this position?

Yes, strong written and verbal communication skills are essential, along with the ability to present findings to non-technical audiences.

What is the importance of attention to detail in this role?

Attention to detail is crucial to ensure the overall quality of the data and solutions throughout the analytical development process.

How will the Analytics Modeller collaborate with other teams?

The Analytics Modeller will collaborate with cross-functional teams to understand the business, customer personas, and pain points, ultimately developing and providing the right analytical solutions.

What type of analytics experience is preferred for this position?

Experience with statistical analysis, descriptive analytics, predictive analytics, and prescriptive analytics is preferred for this role.

Will candidates have the opportunity to learn new technologies?

Yes, there is an interest in candidates who are eager to learn new technologies.

How will data be visualized in this role?

Data will be visualized using tools like Tableau, PowerBI, Excel, Qliksense, GCP Looker, and GCP BigQuery to create dashboards and reports that convey critical insights.

Ford Motor Company

Automotive
Industry
10,001+
Employees
1903
Founded Year

Mission & Purpose

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us. Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.