Why careerzynith?
At careerzynith, we are redefining the way data fuels business decisions across the retail and financial services landscape. Our mission is to unlock the full value of data by turning raw information into actionable insights that empower merchants, partners, and customers alike. As a global leader in data‑driven innovation, careerzynith invests heavily in cutting‑edge technology, collaborative culture, and continuous learning. Join a team where your analytical curiosity meets real‑world impact, and where every dataset you touch helps shape the future of commerce.
Role Overview – Information Expert II
The Information Expert II (also known as Data Analyst II) sits at the heart of careerzynith’s Data Adventures division. You will be the analytical engine that transforms complex client data into clear, strategic narratives. Working closely with product teams, technology groups, and business stakeholders, you will design, build, and maintain dashboards, data pipelines, and analytical models that drive product performance, operational efficiency, and customer satisfaction.
Key Responsibilities
- Data Exploration & Insight Generation: Conduct deep‑dive analyses to uncover trends, patterns, and opportunities hidden within large, multi‑source datasets.
- Dashboard & Visualization Development: Create compelling, interactive visualizations using Power BI, Tableau, Looker, or similar tools to communicate key performance indicators (KPIs) to non‑technical audiences.
- Data Quality & Governance: Partner with data stewards to ensure data accuracy, consistency, and compliance with internal standards and external regulations.
- ETL Pipeline Construction: Design, implement, and maintain robust ETL jobs using SQL, Python, Presto, and cloud‑based orchestration platforms (e.g., Airflow, dbt).
- Product Impact Analysis: Measure and evaluate the performance of new product releases, providing actionable feedback to product managers and engineers.
- Cross‑Functional Collaboration: Work alongside careerzynith Digital Citizenship, careerzynith Global Tech, and product teams to translate business problems into data‑driven solutions.
- Statistical Modeling & AI Basics: Apply basic statistical techniques and introductory machine‑learning concepts to enrich data insights.
- Documentation & Knowledge Sharing: Produce clear documentation, data dictionaries, and best‑practice guides to foster a data‑literate organization.
- Continuous Improvement: Identify opportunities to streamline data processes, reduce latency, and lower operational costs.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field.
- 2+ years of hands‑on experience in data analysis, business intelligence, or a similar analytical role.
- Proficiency in SQL and at least one programming language for data manipulation (Python, R, or Scala).
- Demonstrated ability to build and maintain dashboards in Power BI, Tableau, or Looker.
- Strong analytical mindset with the ability to translate raw data into clear, actionable business recommendations.
- Excellent written and verbal communication skills, capable of presenting complex findings to diverse audiences.
- Experience working in fast‑paced, collaborative environments and adapting to evolving priorities.
Preferred Qualifications & Additional Skills
- Experience with data‑quality tools such as Collibra, SAS Data Quality, or IBM InfoSphere.
- Familiarity with testing frameworks like Selenium, Cucumber, or Tosca for data validation.
- Hands‑on experience building multi‑step ETL pipelines and using workflow orchestration tools (Airflow, Prefect, dbt).
- Exposure to cloud data platforms—Google BigQuery, Amazon Redshift, Snowflake, or Hive.
- Knowledge of data modeling concepts (ER diagrams) and basic BI architecture.
- Understanding of statistical methods and introductory AI/ML models (e.g., regression, clustering).
- Prior experience in retail, e‑commerce, or financial services industries.
- Ability to influence and build strong relationships across technical and non‑technical teams.
- Comfort with rapid change, ambiguity, and continuous learning.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
- Technical Proficiency: Mastery of SQL, data extraction tools, and scripting languages for data transformation.
- Visualization Expertise: Crafting intuitive, story‑driven dashboards that resonate with stakeholders.
- Collaboration: Working seamlessly with product managers, engineers, and business leaders to align data initiatives with strategic goals.
- Communication: Translating technical findings into clear, concise narratives for executive audiences.
- Quality Focus: Commitment to data integrity, governance, and compliance.
- Adaptability: Thriving in a dynamic environment where priorities shift quickly.
Career Growth & Learning Opportunities
careerzynith invests in your professional development. As a Data Analyst II, you will have access to:
- Mentorship programs with senior data scientists and analytics leaders.
- Sponsored certifications (e.g., Microsoft Certified: Data Analyst Associate, Google Cloud Professional Data Engineer).
- Internal training labs covering advanced analytics, cloud platforms, and emerging AI techniques.
- Opportunities to lead cross‑functional projects and influence product roadmaps.
- A clear career ladder—from Analyst to Senior Analyst, Analytics Manager, and eventually Director of Data Strategy.
Work Environment & Culture at careerzynith
Our culture is built on curiosity, collaboration, and continuous improvement. You will find:
- Inclusive Atmosphere: Diverse teams where every voice is heard and ideas are celebrated.
- Flexible Work Options: Hybrid work model with the ability to work remotely a few days per week.
- Innovation Labs: Dedicated spaces for experimenting with new data tools and techniques.
- Community Impact: Programs that encourage employees to give back through data‑driven social initiatives.
- Well‑Being Programs: Comprehensive health plans, mental‑health resources, and wellness stipends.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $30 per hour, reflective of your expertise and the value you bring. In addition to base compensation, you will receive:
- Performance‑based bonuses tied to project outcomes.
- Health, dental, and vision insurance with generous employer contributions.
- 401(k) retirement plan with matching contributions.
- Paid time off, holidays, and parental leave.
- Professional development budget for conferences, courses, and certifications.
- Employee assistance programs, gym memberships, and wellness incentives.
How to Apply
If you are passionate about turning data into strategic advantage, love solving complex problems, and thrive in a collaborative, fast‑moving environment, we want to hear from you. Join careerzynith’s Data Adventures team and help shape the future of data‑driven commerce.