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About careeraxis
Careeraxis is a global leader in customer experience solutions, dedicated to transforming how businesses understand and delight their customers. With a culture that blends the agility of a startup with the resources of a Fortune‑500 company, careeraxis empowers teams to innovate, iterate, and deliver measurable impact at scale. Our mission is simple: create a defect‑free experience for every customer, every time. By harnessing cutting‑edge data science, machine learning, and analytics, we help brands reduce friction, increase loyalty, and drive sustainable growth.
Role Overview
As a Senior Business Intelligence Engineer on the careeraxis Defect Elimination Analytics team, you will be at the forefront of our mission to eliminate defects and elevate customer satisfaction. Working remotely, you will partner with software developers, data engineers, research scientists, economists, and product managers to build scalable, automated systems that surface actionable insights from vast, complex data sets. Your work will directly influence product decisions, prioritize improvement initiatives, and shape the future of careeraxis’s analytics platform.
Key Responsibilities
- Design, develop, and maintain enterprise‑grade, automated dashboards, reports, and data pipelines that provide real‑time visibility into defect metrics and customer sentiment.
- Collaborate with cross‑functional teams—operations, product, ML, and economics—to define KPIs, build data models, and implement automated reporting solutions that align with business objectives.
- Lead end‑to‑end automation of data pipelines for both traditional analytics and machine‑learning models, ensuring data quality, reliability, and scalability.
- Extract insights from large, heterogeneous data sets using advanced SQL, Python, and statistical techniques, translating findings into clear, actionable recommendations.
- Serve as a liaison between technical and non‑technical stakeholders, translating complex data concepts into business language and vice versa.
- Champion best practices in data governance, security, and documentation, fostering a culture of data excellence across the organization.
- Mentor junior engineers and contribute to knowledge sharing through workshops, code reviews, and internal documentation.
Essential Qualifications
- 3+ years of experience in data analysis, modeling, and visualization using tools such as Redshift, Oracle, NoSQL, Tableau, or QuickSight.
- Proficiency in SQL (complex queries, performance tuning) and Python for data processing and automation.
- Hands‑on experience building ETL pipelines, data warehouses, and data models in a production environment.
- Strong statistical background with familiarity in R, SAS, or MATLAB for exploratory analysis and hypothesis testing.
- Demonstrated ability to translate business questions into data solutions and communicate insights effectively to stakeholders.
- Bachelor’s degree in Computer Science, Statistics, Engineering, or a related field.
Preferred Qualifications
- Experience with AWS services such as EC2, S3, DynamoDB, and Redshift.
- Background in data mining, large‑scale data processing, and working with complex, high‑volume datasets.
- Exposure to natural language processing or machine‑learning model development.
- Knowledge of agile development practices and continuous integration/continuous deployment (CI/CD) pipelines.
- Prior experience in a customer‑facing analytics role within a high‑growth tech company.
Skills & Competencies
Technical Proficiency: Advanced SQL, Python, data modeling, ETL, cloud architecture, and data visualization. Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions. Communication: Clear articulation of technical concepts to non‑technical audiences; strong written and verbal communication. Collaboration: Proven track record of working effectively in cross‑functional teams and building consensus. Adaptability: Thrives in a fast‑paced, ambiguous environment; comfortable wearing multiple hats. Leadership: Mentoring junior staff, leading projects, and driving initiatives from conception to deployment.
Career Growth & Learning Opportunities
At careeraxis, your career trajectory is shaped by your ambition and the impact you deliver. As a Senior Business Intelligence Engineer, you will:
- Lead high‑visibility analytics initiatives that influence product strategy and customer experience.
- Progress to a Lead Engineer or Analytics Manager role, overseeing larger teams and more complex projects.
- Participate in cross‑disciplinary hackathons, innovation labs, and industry conferences to stay at the forefront of analytics trends.
- Access to internal learning pathways, including certifications in AWS, data science, and advanced analytics.
- Benefit from a mentorship program that pairs you with senior leaders across careeraxis.
Work Environment & Culture
Careeraxis’s culture is built on the pillars of innovation, collaboration, and customer obsession. We value diverse perspectives and encourage every team member to challenge the status quo. Our remote-first approach means you can work from anywhere while staying connected through weekly virtual stand‑ups, asynchronous communication tools, and quarterly in‑person retreats. We celebrate successes, learn from failures, and continuously iterate on our processes to deliver the best possible experience for our customers and our people.
Compensation & Benefits
A competitive salary range of $90,000 to $185,000 per year, adjusted for market and experience, reflects the value we place on your expertise. In addition to base pay, careeraxis offers:
- Comprehensive medical, dental, and vision coverage for you and your eligible family.
- Paid parental leave, flexible time off, and a generous PTO policy.
- 401(k) retirement plan with company match.
- Professional development stipend and access to industry conferences.
- Equity and sign‑on bonuses for senior roles, as part of a total compensation package.
- Wellness programs, mental health resources, and a supportive employee assistance program.
Diversity & Inclusion
Careeraxis is committed to building a workforce that reflects the communities we serve. We welcome applicants of all backgrounds, identities, and experiences. If you require accommodations during the application or hiring process, please let us know, and we will provide the necessary support.
How to Apply
Ready to make a global impact from the comfort of your home? Submit your application through the careeraxis career portal. We review applications on a rolling basis and encourage you to apply early. If you have any questions, feel free to reach out to our recruiting team at recruiting@careeraxis.com.
Closing
At careeraxis, we believe that the best solutions come from people who are curious, collaborative, and customer‑centric. If you’re passionate about turning data into action, eager to solve complex problems, and excited to join a team that values innovation and impact, we want to hear from you. Apply today and help us build a defect‑free experience for every customer, everywhere.
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