Data Statistician / Data Analyst (#130655)

As a Data Statistician, you will apply your expertise in data analysis, statistical modeling, and data mining, and you will manage technical and critical analytics solutions. Your primary responsibilities will be to help develop new and to improve existing statistical models with a focus on solutions for the sales and marketing teams, but you will also contribute to business intelligence projects in other cross-functional areas (marketing, finance, corporate strategy, product management, web analytics, economics, reporting, and research).

You should also have some expertise in predictive modeling techniques such as multivariate regression, logistic regression, decision trees, clustering and time series analysis and be ready to apply these to analyze operational, web, user behavior, and financial data.

The candidate should demonstrate a strong business sense and be familiar with and interested in the business needs and objectives of these and other core business functions.

Responsibilities:

Business Analytics & sales team:
You will be responsible for maintaining, optimizing and ultimately re-training the data mining predictive analytics solution which supports the efforts of our sales team. You will be responsible for its daily operation as well as managing and building supporting tools for the sales process. You will provide ongoing analysis to ensure the quality of the model output and make sure we continue to gain insights from the statistical models (trends, sales force efficiency, economics, etc.).

Business Analytics & Core Business Teams:
You will field data and information inquiries and analysis requests by some of the other teams we support in the organization: marketing, product management, business development, etc. and you will be involved in other Business Analytics initiatives.

Qualifications:

- 5+ years of work experience in a Statistician / Data Analyst role with a proven track record of leveraging data analysis to drive significant business impact.

- Excellent communicator and collaborator with the tech and non-tech teams alike.

- Besides getting to know the highly normalized database structure, some programming language experience is good to have.

Having super user skills on MS Excel. You should be experienced with at least one statistical analysis tools such as R, S-Plus, SAS, Stata, and/or Weka or equivalent.

Bachelor’s Degree / MS in Statistics, Mathematics, Economics, Operations Research or related field.

Skills:

Data Statistician (Must Have)
Data Analytics (Must Have)
Business Analytics (Must Have)

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Why work with Sapphire Canada?

Every year, Sapphire Canada places approximately 4000 technology workers in more positions across the country, more often than any of our competitors. Our clients include 65% of the companies listing on the S&P TSX 60, offering our job seekers access to a full range of career opportunities. Yet at Sapphire Canada, we’re committed to more than numbers. We offer a personalized approach to your career development, simplified job search and application process, fair market rates and streamlined payment as well as value-added programs. For more information, please visit www.sapphireca.com

If you are ready to explore your next challenge, apply today.

Sapphire Canada hires on the basis of merit and is committed to employment equity. We encourage all qualified persons to apply.

Sapphire Canada is a division of Randstad Interim Inc. Randstad is the second largest staffing organization in the world with revenues in excess of $27 billion. Randstad has 28,000 employees working from 4,300 branches who employ over 450,000 people every day. For more information, please visit www.randstad.ca
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