Parallels

Senior Data Analyst

Malta full-time Senior $40,000 - $50,000
full-time Senior level Technology & IT Salary listed Curated
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About the role

Senior Data Analyst

Parallels has an immediate vacancy for this role.

Push the boundaries of tech. In your sweatpants.

We’re looking for an experienced Senior Data Analyst to help us change the way the world works. Here, you’ll be a key member of our Data Analytics team, where you will use your quantitative background to dive into large datasets to guide decision-making for the B2C Marketing team.

The top creative and technical minds could work anywhere.So why are so many of them choosing Parallels? Here are three reasons:

This is the moment.It’s an exciting time at Parallels, with strong leadership, a refreshed brand, and a whole new approach to changing the way the world works. We’re at the forefront of a movement, and we want you to ride this wave with us.

We want you to be you.Too often, companies tell you about their culture and then expect you to fit it. Our culture is built from the people who work here. We want you to feel safe to be who you are, take risks, and show us what you’ve got.

It’s your world.We know you have a life. We want to be part of it, but not all of it. At Parallels, we’re serious about empowering people to work when, how, and where they want. Couch? Sweatpants? Cool with us. We believe that happy employees mean happy customers. That’s why we hire amazing people and get out of their way.

Sound good so far? Awesome. Let’s talk more about the Senior Data Analyst role and see if we’re destined to be together.

As a Senior Data Analyst you will:

Build a comprehensive understanding of how customers move through our digital ecosystem—from initial visit to purchase and beyond

Analyze and mitigate customer churn effectively while also driving strategies for customer acquisition and optimize trial-to-conversion processes

Make data driven strategy recommendations in these areas such as customer acquisition, customer activation and retention as well as media mix modeling, marketing attribution and experimentation

Deep dive into advanced analyses, providing robust models tied to business objectives and outcomes, and being able to derive meaningful conclusions from it

Ideate and implement unexplored analyses that can identify areas of opportunity that support business goals and evolve business strategy

Partner with business stakeholders and data engineering to define key metrics and build scalable, user-friendly dashboards that translate complex data into meaningful insights, drive adoption, and support strategic decision-making

Be able to work independently, identify dependencies to unblock projects, and craft courses of action to complete projects

Manage multiple complex projects in parallel tracks

What YOUBring to the Team:

5+ years of experience in Data Analytics, Business Intelligence, Product Analytics, Revenue Analytics, Customer Analytics, Data Science, or related analytical field.

Advanced database and data transformation skills with preferred experience in Snowflake and dbt.

Strong understanding of data modeling concepts, data governance, and data quality best practices.

Strong expertise in data visualization, and dashboard development (Looker, Tableau, Power BI, etc.) with a proven ability to translate complex datasets into intuitive, actionable reporting for technical and non-technical audiences.

Experience in analyzing key customer pathways, surfacing friction points to identify where experimentation can improve flow and conversion

Proficiency in BigQuery, Google Analytics, advantages and limitations of GA4 event tracking and its effect on analytics

US:

We have millions of users and decades of innovation under our belts.

We offer a fully remote workspace. There is no pressure to work in an office whatsoever.

Hours are flexible, too! You’ve worked hard to build your life, and we don’t want you to give it up for work.

Our team is growing fast, and there’s a tonof energy and a lot of really smart, motivated, fun people ready to welcome you in.

What are you waiting for? Apply now! We can’t wait to meet you.

(FYI, we’re lucky to have a lot of interest and we soappreciate your application, though please note that we’ll only contact you if you’ve been selected for an interview.)

About Parallels

Parallels is a top VDI/EUC product helping businesses since 1999. Whether it’s desktop or cloud, on-prem or hybrid, Parallels has a solution to help your company optimize the speed and security of your work environment at an affordable price.

It is our policy and practice to offer equal employment opportunities to all qualified applicants and employees without regard to race, color, age, religion, national origin, sex, political affiliation, sexual orientation, marital status, disability, veteran status, genetics, or any other protected characteristic.

Parallels is committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation that are required. Appropriate accommodation will be provided upon request as required by Federal and Provincial regulations and Company Policy. Any information received relating to accommodation will be treated as confidential.

As part of our evaluation process, we utilize an AI tool to assess candidates.

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT Data Analysis Human Resources MySQL Remote Collaboration Senior level full-time

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Analyst role.
  2. How would you approach your first 30 days at Parallels?
  3. Which of Data Analysis, Human Resources and MySQL have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Analyst role because I can bring practical experience in Data Analysis, Human Resources and MySQL, learn the team quickly, and contribute to the outcomes Parallels needs from this hire.

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