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Data Analyst Startup Jobs in Alberta (NOW HIRING)

... startup and production ramp-up. Safety & Compliance: Implement and verify robotic safety systems ... data and root-cause analysis. Automation Standardization: Develop and maintain standardized ...

Analyze complex functions, procedures and problems to deliver creative and effective solutions ... Competitive salary: we believe in data-driven, equitable compensation decisions. We recently ...

Position Summary ProtechGeo Surveying Ltd. is a new startup based in Edmonton, Alberta, Canada. Our ... Take raw field survey data collected by crews and transform it into clean, accurate, submission ...

Use AI-powered analytics, usage metrics, and industry benchmarks to present insights that drive ... Partner with Product and Data teams to provide feedback on AI features, ensuring they enhance legal ...

... analysis to improve asset reliability and availability. * Collaborate with Operations, Gas Control ... Support commissioning, startup activities, modernization projects, and facility expansions while ...

Lead end‑to‑end innovation initiatives across tools, analytics, and AI, driving solutions from ... Deep familiarity with innovation frameworks such as design thinking, lean startup, and agile ...

... analyze data, and contribute to process design solutions while exercising sound engineering ... Minimum of 3 years of relevant industry experience, including design engineering, systems startup ...

Showing results 21-38

Data Analyst Startup information

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How much do data analyst startup jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analyst startup in Alberta is $38.77, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $50.72 per hour, depending on experience, location, and employer.

What is a data analyst startup?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

What are some challenges a data analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the data analyst startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What are popular job titles related to Data Analyst Startup jobs in Alberta?

For Data Analyst Startup jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Analyst Startup jobs in Alberta look for?

The top searched job categories for Data Analyst Startup jobs in Alberta are:

Infographic showing various Data Analyst Startup job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,646 per year, or $38.8 per hour.

Full-time

Re-posted 18 days ago


Job description

PROFILE SUMMARY

As the Automation Specialist, you will support/co-lead the design, integration, commissioning, and optimization of industrial robotic systems supporting automated loading and unloading, material handling, and flexible manufacturing cells across GN's advanced manufacturing operations.

This role combines hands-on robotics integration expertise with system-level thinking, ensuring automation solutions are robust, scalable, safe, and production-ready. Under technical direction of the Lead/Sr. Automation Specialist, you will work cross-functionally with Engineering, Manufacturing, Quality, and Operations teams to deploy automation that improves throughput, consistency, safety, and overall equipment effectiveness while aligning with GN's operational, quality, and regulatory standards.


SPECIFIC FUNCTIONS

Robotic Cell Integration: Design, integrate, and commission industrial robotic work cells for CNC machine tending, material handling, and secondary operations, ensuring reliable and repeatable production performance.

Robot Programming & Controls Integration: Program and configure industrial robots using OEM platforms and integrate with PLCs, CNC machines, safety systems, sensors, and peripheral equipment following established automation standards.

End-of-Arm Tooling & Fixturing Collaboration: Work with mechanical design teams to develop EOAT, grippers, and fixturing solutions that ensure consistent part presentation and minimize downtime.

System Commissioning & Debugging: Execute FAT/SAT, and on-site commissioning activities; troubleshoot cycle time, communication, sequencing, and reliability issues during system startup and production ramp-up.

Safety & Compliance: Implement and verify robotic safety systems including guarding, scanners, interlocks, and safety PLCs in accordance with approved safety concepts and applicable CSA, ISO, and RIA standards.

Production Support & Optimization: Provide ongoing technical support to manufacturing, optimize robot paths and logic, reduce downtime, and improve cycle times based on production data and root-cause analysis.

Automation Standardization: Develop and maintain standardized automation architectures, code libraries, and best practices to support scalability and repeatability across GN's facilities.

Cross-Functional Collaboration: Act as a technical liaison between Automation, Engineering, Manufacturing, Quality, and Maintenance teams to ensure alignment from concept through sustained production.

Digital Manufacturing Integration: Support data capture and connectivity initiatives to integrate robotic cells with MES, OEE tracking, and future smart manufacturing platforms.

Continuous Improvement: Identify opportunities to enhance automation performance, reliability, and flexibility while supporting GN's lean manufacturing and continuous improvement initiatives.


CORE COMPETENCIES

Personality Traits:

1. Systems-Oriented Thinker: Understands the interaction between robots, machines, operators, and data within a manufacturing ecosystem.

2. Hands-On & Resilient: Comfortable working on the shop floor during startups, troubleshooting, and production ramp-up.

3. Detail-Focused & Methodical: Maintains precision in programming, safety validation, and system integration.

4. Ownership-Driven: Takes responsibility for automation solutions from concept through stable production.

5. Adaptable & Forward-Looking: Responds effectively to changing production requirements, new technologies, and evolving automation strategies.

Professional Skills:

1. Robotics Programming & Integration: Strong capability in programming, commissioning, and optimizing industrial robots across multiple OEM platforms.

2. Controls & Communication: Proficient in integrating robots with PLCs, CNC machines, and industrial networks.

3. Troubleshooting & Root-Cause Analysis: Diagnoses mechanical, electrical, and software-related issues in automated systems.

4. Safety Systems Implementation: Applies functional safety principles and validates compliance in robotic applications.

5. Manufacturing Process Knowledge: Understands CNC machining, material flow, fixturing, and production constraints.


INTERNATIONAL STANDARDS PROFICIENCY

Knowledge of the following regulatory and international standards is considered an asset:

1. ISO 10218 / RIA R15.06 (Industrial Robot Safety)

2. CSA Z434 (Robotic Systems)

3. ISO 9001:2015 (Quality)

4. ISO 45001:2018 (Health & Safety)

5. ISO 14001:2015 (Environmental)


OTHER RESPONSIBILITIES

Adhere to GN's Health & Safety policies and ensure compliance during automation design, installation, and operation. Maintain current knowledge of industrial robotics, automation technologies, and smart manufacturing trends. Promote GN's commitment to operational excellence, safety, reliability, and continuous improvement.


MINIMUM JOB QUALIFICATIONS

Bachelor's degree or diploma in Automation, Mechatronics, Robotics, Electrical Engineering, or a related discipline, or equivalent hands-on experience. 3+ years of experience integrating and commissioning industrial robotic systems in an advanced manufacturing environment. Proven experience with robotic loading/unloading or machine tending applications. Strong knowledge of industrial robotics, PLC integration, sensors, pneumatics, and safety systems. Experience interfacing robots with CNC machines and production equipment. Ability to interpret electrical schematics, mechanical drawings, and technical documentation. Proficiency with robot programming environments and industrial communication protocols. Strong troubleshooting, analytical, and problem-solving skills. Excellent communication skills and ability to collaborate across multidisciplinary teams.

Experience maintaining technical documentation, following automation standards, and supporting FAT/SAT activities is an asset.

Experience with lean manufacturing, OEE improvement, or continuous improvement initiatives is an asset.