Offer summary

Qualifications:

Bachelor’s degree in computer science or a related field., 6 years of experience with statistical and computer languages such as R, Python, and SQL., Proven ability to build analytical models and prepare data for predictive modeling., Experience in data science, data engineering, and understanding complex business questions..

Key responsibilities:

Design and maintain data pipelines and analytics workflows.

Prepare visualizations, dashboards, and analytical models for reporting.

Work with clients to explain complex data principles and address business issues.

Combine raw data from various sources to support analytical projects.

Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. As a Certified MBE and Woman-Owned organization, we pride ourselves on fostering global cross-cultural connections that advance both the careers of our employees and the success of our clients' businesses. At LanceSoft, our mission is clear: to leverage our global network to seamlessly connect businesses with the right talent and individuals with the right opportunities, all without bias. We believe in providing Global Workforce Solutions with a personalized, human touch. Our comprehensive range of services spans various domains, encompassing temporary and permanent staffing, Statement of Work (SOW) arrangements, payrolling, Recruitment Process Outsourcing (RPO), application design and development, program/project management, and engineering solutions. Currently, our team of over 5,000 professionals caters to 110+ enterprise clients worldwide, including Fortune companies. Our client base represents a diverse spectrum of industries, including Banking & Financial Services, Semiconductor/VLSI, Technology, Healthcare & Life Sciences, Government, Telecom & Media, Retail & Distribution, Oil & Gas, and Energy & Utilities. Headquartered in Herndon, VA, LanceSoft operates 32+ regional offices across the North America, Europe, Asia, and Australia. We also have nine delivery centers strategically located in India in Bangalore, Indore, Noida, Baroda, Hyderabad, Bhubaneshwar, Dehradun, Goa, and Aligarh to further enhance our client service capabilities.

Job description

Role: Senior Data Analyst
Location: Edmonton Alberta (Remote)
Duration: 12 Months Contract With possible extension.

Required Skills:

Bachelor’s degree in computer science or related field of study equivalencies will be considered. Yes
Experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL 6 years
Experience in building analytical and quantitative analysis models. 6 years
Experience with projects that involved data science , data engineering and / or AI. 6 years
Experience in preparing data for prescriptive and predictive modelling 6 years
Experience in understanding complex businesses questions and framing the right analytical question to solve a business problem. 6 years
Experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling). 6 years
Experience with and understanding of statistical and data mining techniques to address key business issues. 6 years
Experience and knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy and how to promote use of government data. 5 years
Experience combining raw data from a variety of data sources within and across domains. 5 years
Experience dealing with clients and explaining complex data principles in a thoughtful manner. 5 years
Experience designing and maintaining data pipelines, data analytics workflows, or data product workflows. 3 years
Experience preparing visualizations, dashboards, and analytical models 5 years
Experience understanding and developing requirements for analytical projects. 5 years
Experience utilizing big data technologies (e.g., Hadoop, Spark) or cloud platforms (e.g. Azure, Snowflake) 3 years
Experience working with large government datasets. 3 years