4 Data Visualization Tools jobs in Calgary

Job Description

Data Analytics Engineer – Remote

Embark on the next step in your career journey with Direct Travel!

As one of the fastest growing Travel Management Companies (TMC) in the world, Direct Travel is committed to reimagining what is possible for the industry , including business travel, personalized experiences, and meetings & events. Under the forward-thinking direction of our experienced leadership team, we are rapidly expanding and leveraging next-generation technologies to deliver on our vision for The Perfect Trip . This is your opportunity to grow your career and be part of a dynamic team that is setting the new standard of travel and service excellence. If you’re passionate about innovation and ready for what’s next, we’d love for you to join us!

Direct travel is on a journey of data transformation, and we are seeking a skilled and motivated Data Analytics Engineer to join our team to be a pivotal part of our history.

The ideal candidate will be crucial to the design, execution and delivery of a best-in-class global analytics platform, providing data insights and global reporting for both internal stakeholders and thousands of clients globally.

A successful candidate will have hands on experience crafting embedded analytics applications, possess a background in software engineering and understand the latest methods and techniques in provisioning key visualizations and self-service capabilities within our data products.

In the role of an Analytics Engineer, a qualified candidate will work across engineering and data related assignments, contributing to the development of analytics products and using a data-driven mindset to solve business problems across the organization.

Expedition Expectations

• Data Management: Data collection and processing across various raw and unimproved data marts.
• Reporting & Visualization: Develop and implement key visualizations, reports, modeling and performance improving optimizations to our core data products.
• Collaboration: Work closely with IT and business units to understand data requirements and provide actionable insights and solutions to data problems.
• Process Improvement: Identify, analyze, and interpret trends or patterns in complex IT data sets to drive process improvements and policy development.
• Analytics & Insights: Provide key and differentiating industry insights for our customers through clear and concise analytical representations of core travel data.

Passport to Success

• Educational Background: Bachelor’s degree in information technology, Computer Science, Data Science, or a related field or equivalent experience.
• Technical Proficiency:

1. Advanced knowledge of and experience with databases of all varieties including RDBMS SQL based platforms as well as document stores.
2. Demonstrable experience with a programming language typically used in the field of data and analytics engineering e.g. Python, R or Scala.
3. Experience and understanding of web application development, front-end reactive applications such as VueJS or React as well as familiarity with middle and back-end software development methodologies.
4. Understanding of the software development lifecycle and SCM through Git or an alternative.

• Cloud proficiency:

1. Experience with a cloud providers such as Amazon AWS, Azure or GCP and associated data platforms and products they provide.

• Analytics:

1. Full understanding of the data lifecycle, from pipeline development to warehouse architecture to reporting and analytics enablement.
2. Senior level experience with more than one cloud-based analytics platform such as Looker, Tableau or PowerBI.
3. Experience developing semantic models across wide-reaching data in sustainable and performant ways.
4. Exposure and understanding to cloud-based warehouse platforms such as Snowflake, DataBricks or Azure DataLake.
5. Prior experience implementing governance and compliance related frameworks to analytics data products.
6. Inquisitive diagnostic skills related to query and system tuning and performance.
7. Experience building bespoke data products from the ground up that utilize analytics and business intelligence platforms in an integration manner for visuals and core functionality.

• Communication Skills: Strong verbal and written communication skills to effectively share findings with stakeholders.
• Attention to Detail: Adept at queries, report writing, and presenting findings.

Going the Extra Mile

• Experience: Proven working experience as a data analytics engineer.
• Platforms: Snowflake, Looker and LookML modeling experience.

Benefits Onboard

In addition to Medical, Dental, and Vision benefits Direct Travel offers an employee rewards and recognitions program, Total Rewards Package which includes Wellness, Sustainability, DE&I initiatives, and Mental Health Support.

Our Brand Voyage: Direct Travel

Direct Travel is a leading provider of corporate travel management services. By leveraging both the expertise of its people and innovative solutions, Direct Travel enables clients to derive the greatest value from their travel program in terms of superior service, progressive technologies, and significant cost savings. The company is led by CEO Christal Bemont and Executive Chairman Steve Singh, noted business investor and founder of Concur. Direct Travel has offices in over 80 locations and is currently ranked among the top providers of travel on Travel Weekly’s Power List. For more information, visit

Direct Travel is an EOE/AA/Veteran/People with Disabilities employer

If you're ready to chart a new course and advance your career with the valuable moments and travel experiences that await, we welcome you to submit your resume for consideration at Direct Travel.

#LI-DNP

Job Description

Data Analytics Engineer – Remote

Embark on the next step in your career journey with Direct Travel!

As one of the fastest growing Travel Management Companies (TMC) in the world, Direct Travel is committed to reimagining what is possible for the industry , including business travel, personalized experiences, and meetings & events. Under the forward-thinking direction of our experienced leadership team, we are rapidly expanding and leveraging next-generation technologies to deliver on our vision for The Perfect Trip . This is your opportunity to grow your career and be part of a dynamic team that is setting the new standard of travel and service excellence. If you’re passionate about innovation and ready for what’s next, we’d love for you to join us!

Direct travel is on a journey of data transformation, and we are seeking a skilled and motivated Data Analytics Engineer to join our team to be a pivotal part of our history.

The ideal candidate will be crucial to the design, execution and delivery of a best-in-class global analytics platform, providing data insights and global reporting for both internal stakeholders and thousands of clients globally.

A successful candidate will have hands on experience crafting embedded analytics applications, possess a background in software engineering and understand the latest methods and techniques in provisioning key visualizations and self-service capabilities within our data products.

In the role of an Analytics Engineer, a qualified candidate will work across engineering and data related assignments, contributing to the development of analytics products and using a data-driven mindset to solve business problems across the organization.

Expedition Expectations

• Data Management: Data collection and processing across various raw and unimproved data marts.
• Reporting & Visualization: Develop and implement key visualizations, reports, modeling and performance improving optimizations to our core data products.
• Collaboration: Work closely with IT and business units to understand data requirements and provide actionable insights and solutions to data problems.
• Process Improvement: Identify, analyze, and interpret trends or patterns in complex IT data sets to drive process improvements and policy development.
• Analytics & Insights: Provide key and differentiating industry insights for our customers through clear and concise analytical representations of core travel data.

Passport to Success

• Educational Background: Bachelor’s degree in information technology, Computer Science, Data Science, or a related field or equivalent experience.
• Technical Proficiency:

1. Advanced knowledge of and experience with databases of all varieties including RDBMS SQL based platforms as well as document stores.
2. Demonstrable experience with a programming language typically used in the field of data and analytics engineering e.g. Python, R or Scala.
3. Experience and understanding of web application development, front-end reactive applications such as VueJS or React as well as familiarity with middle and back-end software development methodologies.
4. Understanding of the software development lifecycle and SCM through Git or an alternative.

• Cloud proficiency:

1. Experience with a cloud providers such as Amazon AWS, Azure or GCP and associated data platforms and products they provide.

• Analytics:

1. Full understanding of the data lifecycle, from pipeline development to warehouse architecture to reporting and analytics enablement.
2. Senior level experience with more than one cloud-based analytics platform such as Looker, Tableau or PowerBI.
3. Experience developing semantic models across wide-reaching data in sustainable and performant ways.
4. Exposure and understanding to cloud-based warehouse platforms such as Snowflake, DataBricks or Azure DataLake.
5. Prior experience implementing governance and compliance related frameworks to analytics data products.
6. Inquisitive diagnostic skills related to query and system tuning and performance.
7. Experience building bespoke data products from the ground up that utilize analytics and business intelligence platforms in an integration manner for visuals and core functionality.

• Communication Skills: Strong verbal and written communication skills to effectively share findings with stakeholders.
• Attention to Detail: Adept at queries, report writing, and presenting findings.

Going the Extra Mile

• Experience: Proven working experience as a data analytics engineer.
• Platforms: Snowflake, Looker and LookML modeling experience.

Benefits Onboard

In addition to Medical, Dental, and Vision benefits Direct Travel offers an employee rewards and recognitions program, Total Rewards Package which includes Wellness, Sustainability, DE&I initiatives, and Mental Health Support.

Our Brand Voyage: Direct Travel

Direct Travel is a leading provider of corporate travel management services. By leveraging both the expertise of its people and innovative solutions, Direct Travel enables clients to derive the greatest value from their travel program in terms of superior service, progressive technologies, and significant cost savings. The company is led by CEO Christal Bemont and Executive Chairman Steve Singh, noted business investor and founder of Concur. Direct Travel has offices in over 80 locations and is currently ranked among the top providers of travel on Travel Weekly’s Power List. For more information, visit

Direct Travel is an EOE/AA/Veteran/People with Disabilities employer

If you're ready to chart a new course and advance your career with the valuable moments and travel experiences that await, we welcome you to submit your resume for consideration at Direct Travel.

Job Description

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The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

What We Offer

• A dynamic environment where your contributions shape the company and its products.
• A team that values innovation, intuition, and drive.
• Autonomy, fostering focus and creativity.
• The opportunity to have a significant impact in a revolutionary industry.
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.