Data Analytics Engineer

Description

Starting base salary US$74,500 $89,500

CAD $78,000 - $93,000*

Plus Bonus, Equity & Benefits

Pay transparency

Our salary ranges are determined by role, level, and location. The range displayed on our job posting reflects the minimum and typical maximum target for new hire salaries for the position, it does not reflect the maximum salary for the role over time.

Within the range, individual pay is determined by job-related skills and experience demonstrated during the interview process.

What you will be doing :

As a Data Analytics Engineer, you'll spearhead the collection, cleaning, and integration of data for analysis. Utilizing statistical techniques and machine learning, you'll extract insights and construct predictive models to steer our business strategy.

Your expertise will extend to visualizing data for effective communication, optimizing processing pipelines, and ensuring governance / security protocols are upheld.

Through close collaboration with various teams, you'll play a pivotal role in shaping our future by delivering actionable insights that fuel growth.

Responsibilities :

• Understand business requirements, determine relevant Key Performance Indicators (KPI) and prepare visualizationreports
• Gathering data from various sources like databases, APIs, files, and streams, and ensuring its integration into a suitable format for analysis.
• Preparing the data for analysis by addressing inconsistencies, errors, and missing values to ensure its quality and reliability.
• Employing statistical techniques and machine learning algorithms to analyze data, identify patterns, trends, and insights, and develop predictive models for forecasting.
• Presenting data effectively using charts, graphs, and dashboards to enhance understanding and aid decision-making processes.
• Implementing and maintaining data governance policies and security measures to safeguard sensitive information and ensure compliance with regulations.
• Collaborating with cross-functional teams to understand business requirements and deliver actionable insights.
• Staying updated with the latest developments in data analytics, machine learning, and technology trends, and continuously improving skills and knowledge to enhance the effectiveness of data analytics solutions

What you’ll bring :

• Skilled in quantitative research and statistical modeling for delivering insights.
• Proficient in complex SQL queries and stored procedures with attention to detail.
• Experienced in Client Relationship Management and multitasking in fast-paced environments.
• 6-9 years' hands-on experience in Report Development and Data Analysis.
• Familiarity with GitHub and Visual Studios SSIS / SSRS for code management and reporting.
• Proficient in Python for data manipulation, with knowledge of PowerBI / Qlik.
• Expertise in Data Lake architecture, Amazon Redshift, AWS services, and S3 for optimizing and managing large-scale data storage and analytics solutions.
• Expertise in entire quantitative research process and statistical methods.
• Ability to communicate data-driven stories effectively and achieve business outcomes.
• Understanding of software development best practices and cloud technologies.
30+ days ago