Product Data Analyst
Atlanta, GA, United States
Xplor
We are the first global company integrating smart software, seamless payments, and Commerce Accelerating Technologies. We help our customers achieve more growth, faster.Company Description
At Xplor, we believe that helping people make the most of each day is the most rewarding way to spend ours.
We give small and medium-sized businesses cloud-based, intuitive technology solutions that enable them to manage all the hassles of running and growing a business, so business owners can get back to doing what they love. With Xplor Pay, we help businesses get paid quickly and securely – without hidden fees. We built the tech ourselves, and our platform delivers secure, transparent, fast, and accurate payments.
We are unified by our purpose of helping people to succeed. So, when you become part of our team, you also become part of the personal connection that strengthens the relationship people have with Xplor products.
Job Description
We are seeking a highly analytical and motivated Product Data Analyst to join our dynamic team, focusing on data visualization and reporting with the Senior BI Manager and our business insights product. As a Data Analyst for our SaaS platform, you will play a critical role in ensuring high quality and accurate data for analysis and visualization. Your expertise in querying data and presenting it in BI tools will be instrumental in shaping the success of our business insights product.
Responsibilities:
Manage data and procedures within Snowflake, so that the data is ready for ingestion into our BI products.
Work with our clients on creating custom dashboards for their business needs.
Help migrate our BI tooling by optimizing data flows and building replicas of existing dashboards.
Work closely with the Senior BI Manager to transform raw data into meaningful and actionable insights, supporting data-driven decision-making for our customers.
Use SQL to query and manipulate data efficiently, and assist in the design and maintenance of databases and data pipelines.
Leverage coding skills to support the implementation of machine learning and regression analysis to predict when certain behaviors by end consumers are likely to take place.
Assist Product Management in implementation of A/B testing and other experiments to validate hypotheses and drive data-driven optimizations.
On occasion, conduct ad-hoc analysis to answer specific internal business questions and provide insights that support decision-making.
Stay up-to-date with industry best practices, data engineering tools, and emerging technologies to continually improve the data architecture for our data analysis and reporting processes.
Qualifications
Requirements:
Bachelor's degree or equivalent in Computer Science, Data Science, Statistics, or a related field.
Proven experience in data engineering, ETL processes and machine learning, with a strong ability to derive clear datasets and insights from complex data.
Knowledge of data modelling such as linear regression and clustering.
Proficiency in SQL and experience querying, manipulating and transforming data within relational databases.
Familiarity with data science and analytics languages such as Python, R, Spark, and tools such as Snowflake (Snowpark), Tableau, Power BI, or similar.
Excellent problem-solving skills, with the ability to work independently and proactively identify opportunities for data-driven improvements.
Strong communication skills to effectively communicate with technical and non-technical stakeholders.
Detail-oriented with a keen eye for accuracy and data integrity.
Passion for health and fitness is a plus, with an understanding of boutique fitness and wellness concepts.
Additional Information
Values and Life at Xplor
Our four core values guide us from how we hire and recognise our team members to how we interact with our customers day to day:
Make life simple
Build for people
Move with purpose
Create lasting communitie
If these values sound like you, and describe people you want to work with, you will thrive at Xplor.
As an Xplorer, you will be part of a global network of talented colleagues who will support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed.
Some of the perks of working with us:
- 12 weeks Gender Neutral Paid Parental Leave for both primary and secondary carer
- #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community
- Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program
- Access to free mental health support
- Flexible working arrangements
Ready to apply?
To start your application, please submit your resume and we’ll be in touch as soon as we can. Please include the word "moonshot" at the top of your message to the Hiring Manager so that we know you took the time to read our job ad.
More about us
We're the first global platform combining SaaS with embedded payments, and tools to help businesses grow and succeed. We offer software solutions in fast-growing ‘everyday life’ verticals: Education, Fitness & Wellbeing, Field Services and Personal Services – and a global, cloud-based payments processing platform. Xplor Technologies serves over 106,000 customers that processed over $37 billion in payments, operating across 20 markets in 2023.
Good to know
To be considered for employment, you must be legally authorized to work in the location (country) you're applying for. Xplor does not sponsor visas, either at the time of hire or at any later time.
We kindly ask you to apply through our careers portal or external job boards only. Please don't send your application via email.
To learn more about us and our products, please visit www.xplortechnologies.com/us/careers.
We also invite you to check out our Candidate FAQs for more information about our recruitment process www.xplortechnologies.com/us/recruitment-faqs.
EEO and Artificial Intelligence
Please note that we do not exclusively rely on artificial intelligence (AI) when making hiring, promotion or any other employment decisions. We don’t have any AI tools in place that are capable of making these kinds of hiring decisions for us.
Xplor is proud to be an Equal Employment Opportunity employer. We're dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status and age. Applications are encouraged from all sectors of the community. All Information will be kept confidential according to EEO guidelines.
Xplor is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via talent@xplortechnologies.com.
We are a 2024 Circle Back Initiative Employer – we commit to respond to every applicant.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Architecture Clustering Computer Science Data analysis Data pipelines Data visualization Engineering ETL Machine Learning Pipelines Power BI Python R RDBMS Snowflake Spark SQL Statistics Tableau Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave Startup environment Wellness
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