eCommerce Data Analyst

eCommerce Data Analyst

Salary: $1500-$2500 NET

 

For every person joining us for any entry-level position, there is a path and an opportunity to reach an executive role and become a company partner

Antons Sapriko, Company Founder

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How to become an eCommerce Data Analyst at scandiweb eCommerce Expert Team?

We are a very inclusive company with colleagues from over 30 countries across all continents. Our ratio of females is among the highest in the industry. We welcome people from all walks of life who can complete a test by showing their skill and knowledge.

While solid previous experience in Data Analysis for eCommerce businesses and experience with Web Analytics (such as Google Analytics (GA4)) analysis is expected in this role, we value your ability to deliver results starting from the test task, and your enthusiasm and openness to embrace new knowledge and processes. Continuous learning and acting on feedback are among our core organizational values.

What are the responsibilities of an eCommerce Data Analyst?

We are looking for a Data Analyst passionate about digging into datasets and coming out with insights, answers, and stories that can help to drive action for marketing, user journey, or business decisions.

The following are some of the main Data Analyst responsibilities within Scandiweb:

• Building insightful and engaging dashboards and data visualizations (Looker studio,
• PowerBI, or Tableau) for various purposes and audiences from eCommerce managers to performance marketing teams;
• Perform CRO/UX quantitative data analysis, find eCommerce user journey bottlenecks, and prepare reports following data storytelling best practices;
• Analyze main business KPIs and make actionable recommendations out of it;
• Analyze A/B test results and prepare conclusions;
• Work with large data sets, undertaking in-depth quantitative analysis, and distilling data into practical and intuitive strategies for marketing and conversion optimization;
• Perform merchandising analysis and reports for product categories, products, and product lists performance and optimization opportunities;
• Work cross-functionally with teams including but not limited to Marketing, Merchandising,
• CRO/UX, and Development to create business intelligence and reporting frameworks;
• Partner with Web Analytics to create data tracking requirements for answering certain web user journey questions and identify bottlenecks.

You will work in a diverse 80+ people Growth team where we help our eCommerce clients improve their business results via Conversion Optimization, Search Engine Optimization, Performance Marketing, Email Marketing, and Technology.

Regarding Data Analytics, you will be part of a 20+ people Data and Analytics team whose main mission is to empower our clients by collecting and transforming data into actionable insights, enabling smarter decisions and driving business success.

What do we expect from you?

• Solid experience with Google Analytics (GA4) data analysis for eCommerce businesses;
• Data visualization and dashboarding skills with Google Looker Studio (formerly Data Studio), Power BI, or Tableau;
• Strong SQL skills to organize and analyze eCommerce data;
• Experience working with data warehouses (e.g. Google BigQuery and Amazon Redshift) and spreadsheets;
• Experience with cleaning and organizing data for analysis;
• Strong data storytelling and presentation skills;
• Understanding of how web analytics data collection works with Google Tag Manager, dataLayers, Google Analytics, and marketing platforms;
• Data-driven mindset and strategic understanding around using data and interpreting results of analysis;
• You are highly organized – you do your research, take notes, document everything, pay attention to details;
• Curiosity and dedication to learn new things to grow professionally and personally;
• Great English language skills - you are articulate, can write and communicate well

The following skills and knowledge as bonus (not required):

• Familiarity with Python or R for data analysis;
• Experience and know-how in applying AI solutions to facilitate data cleaning and analysis processes;
• A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline;
• Have previous experience in the Conversion optimization, A/B testing and/or Digital Marketing fields;
• Have previous experience with Magento and Shopify eCommerce platforms (or others).

If you lack some of these skills but can learn fast, get in touch and we will see if you have what it takes.

Further career growth for eCommerce Data Analyst

You will get support in career counseling from our HR department as each career path is unique considering your personal strengths and ambitions.

Further professional growth and development can lead you to become a senior data analyst, data strategist, team lead for one and/or multiple teams, heading a particular practice, and ultimately working with complex data analysis projects for top brands like Puma, The New York Times, or Läderach.

What is the compensation package of an eCommerce Data Analyst at scandiweb?

• Competitive starting salary relative to the market;
• Valuable eCommerce experience at the industry leader scandiweb;
• Exciting travel opportunities;
• Support for hardware upgrades;
• Core health insurance coverage and sports bonuses;
• A diverse multinational team of experts to learn from;
• Company-covered training and certification;
• Legendary online and onsite events to celebrate our success together.

Next steps

• Apply and fill in the application form
• Receive the test task and complete it.

Here is what people who joined the Data Analyst team want to share with you:

“I found a vacancy on a local job site and then went directly to the scandiweb site and applied from there. After completing all recruitment steps and presenting myself in the interview, the next day I received an offer.

In the very beginning, I was given a period to complete my education courses. For example, basics of CRO and GTM, and assist on small tag edits. Gradually you receive your first billable ticket. I started my career as a Web Analyst and then became a Data Analyst which was my initial career plan. Now I also work on CDP/data engineering tasks. Jack of all trades of a kind by choice.

Even though I have gained a lot of hard skills while working here, my best learnings were related to the soft skills part. I have understood the real worth of a supportive and friendly environment, as well as of good teamwork”
Alina Draichuk, Data Analyst. Ukraine. Joined the company 21/3/2022.

“I found an open vacancy at scandiweb on LinkedIn and applied immediately, seeing it as a great opportunity to start my career. From the beginning, I was involved in several projects and gained knowledge in Adobe Analytics (AA), even before finishing my probation period. I worked with a dedicated client team as an AA analyst, and after my probation, I was assigned to work on one of scandiweb's most important clients, The MET, which made me very proud.

As I grew in the company, I am now focused on new learnings and opportunities, including a comprehensive analysis of my clients' analytics ecosystems and growth opportunities for them. Beyond technical skills, I also learned the value of being part of a well-organized and appreciative team.”
Tekle Ortoidze, Data Analyst. Georgia. Joined the company 1/3/2023