Senior Data Analyst II – Information Insights & Business Intelligence Specialist – $30/Hour – Full‑Time Role at careerzynith

About careerzynith – Pioneering Data‑Driven Innovation

careerzynith is a global leader in retail and technology, dedicated to turning raw data into actionable intelligence that fuels business growth. With a culture rooted in curiosity, collaboration, and continuous learning, careerzynith empowers its teams to explore complex data sets, develop cutting‑edge analytics solutions, and deliver measurable impact across the organization. As part of the careerzynith Data Adventures division, you will join a vibrant community of data enthusiasts who are reshaping how information drives strategy, product development, and customer experience.

Why This Role Matters

The Data Analyst II position sits at the heart of careerzynith’s information ecosystem. You will be the analytical engine that transforms disparate data sources into clear, strategic insights, enabling product teams, business partners, and technology groups to make informed decisions quickly and confidently. Your work will directly influence three critical pillars of careerzynith’s success:

• Data Enablement: Deliver accurate, high‑quality data to power new data products and services.
• Product Efficiency: Optimize product performance by identifying cost‑saving opportunities through data‑driven process improvements.
• Data Governance & Security: Safeguard the integrity and privacy of data, ensuring compliance with industry standards and supporting customers in achieving their goals.

Key Responsibilities

As a Data Analyst II within the careerzynith Data Adventures team, you will:

• Collaborate with business and product stakeholders to translate complex business problems into analytical solutions.
• Design, develop, and maintain interactive dashboards and visualizations using Power BI, Tableau, Looker, or similar tools.
• Perform exploratory data analysis (EDA), hypothesis testing, statistical modeling, and predictive analytics to uncover hidden patterns and trends.
• Build and orchestrate multi‑step ETL pipelines, leveraging SQL, Python, Presto, and cloud‑based platforms such as Google BigQuery, Snowflake, or AWS Redshift.
• Ensure data quality and consistency by implementing validation frameworks, data profiling, and automated testing (e.g., Selenium, Cucumber, Tosca).
• Partner with data stewards and the data engineering team to ingest, cleanse, and catalog data from diverse sources, adhering to best‑in‑class data governance practices.
• Develop and document data models (ER diagrams) and maintain a clear lineage of data transformations.
• Communicate insights effectively to non‑technical audiences, crafting compelling narratives that drive action.
• Stay abreast of emerging technologies—such as Prophet, Teradata, Hive, Azure Synapse, and Snowflake—and evaluate their applicability to careerzynith’s analytics roadmap.
• Mentor junior analysts, share knowledge, and contribute to a culture of continuous improvement.

Essential Qualifications

To thrive in this role, you should possess the following core qualifications:

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Experience: Minimum 2–4 years of hands‑on experience in data analysis, business intelligence, or data engineering within a fast‑paced environment.
• Technical Skills:
  • Proficiency in SQL and at least one programming language for data manipulation (Python, R, or Scala).
  • Experience with data visualization tools (Power BI, Tableau, Looker, or similar).
  • Familiarity with data quality platforms (Collibra, SAS Data Quality, IBM InfoSphere) and automated testing frameworks.
  • Hands‑on experience building ETL pipelines and working with workflow orchestration tools (Airflow, Luigi, or Prefect).
  • Exposure to cloud data warehouses (Google BigQuery, Snowflake, AWS Redshift) and big‑data processing engines (Hive, Spark).
• Analytical Acumen: Strong exploratory data analysis capabilities, statistical reasoning, and the ability to translate numbers into strategic recommendations.
• Communication: Excellent written and verbal communication skills, with a talent for storytelling through data.
• Collaboration: Proven ability to work cross‑functionally with product, engineering, and business teams.

Preferred Qualifications & Nice‑to‑Have Skills

• Experience in the retail or financial services sectors, providing context for industry‑specific analytics.
• Knowledge of machine learning fundamentals and basic AI model concepts.
• Familiarity with data governance frameworks and regulatory compliance (e.g., GDPR, CCPA).
• Hands‑on experience with data cataloging tools such as Google DataPlex.
• Exposure to advanced analytics platforms like Prophet for forecasting, or Snowflake’s native features for data sharing.
• Certification in data analytics, cloud platforms (AWS, GCP, Azure), or BI tools.

Core Competencies & Personal Attributes

• Curiosity‑Driven: A natural desire to explore data, ask probing questions, and uncover insights that matter.
• Detail‑Oriented: Meticulous attention to data accuracy, quality, and documentation.
• Problem‑Solver: Ability to break down complex challenges into manageable components and devise pragmatic solutions.
• Adaptability: Comfortable thriving in a fast‑changing environment where priorities shift quickly.
• Team Player: Collaborative mindset, eager to share knowledge and learn from peers.
• Customer‑Centric: Understanding of how data insights impact both internal stakeholders and external customers.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. As a Data Analyst II, you will have access to:

• Mentorship programs with senior data scientists and analytics leaders.
• Sponsored certifications and training courses (e.g., Google Cloud Professional Data Engineer, Microsoft Certified: Data Analyst Associate).
• Opportunities to lead high‑visibility projects that influence product strategy and company‑wide initiatives.
• Rotational assignments across the careerzynith Data Adventures ecosystem, exposing you to data engineering, data science, and product analytics.
• Regular knowledge‑sharing sessions, hackathons, and internal conferences to showcase innovative solutions.

Work Environment & Culture at careerzynith

At careerzynith, we champion a culture of inclusion, empowerment, and continuous improvement. Our workplace is designed to foster:

• Flexibility: Hybrid work options that balance remote productivity with collaborative in‑office moments.
• Innovation: An open‑door policy that encourages ideas from every level, with dedicated time for experimentation.
• Diversity & Inclusion: Employee resource groups, inclusive hiring practices, and a commitment to equitable growth.
• Well‑Being: Comprehensive health plans, mental‑health resources, and wellness programs.
• Community Impact: Volunteer initiatives and sustainability projects that align with careerzynith’s corporate responsibility goals.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $30, complemented by a robust benefits package that includes:

• Medical, dental, and vision coverage with multiple plan options.
• 401(k) retirement plan with company matching.
• Paid time off, holidays, and flexible vacation policies.
• Performance‑based bonuses and recognition programs.
• Professional development stipend for courses, conferences, and certifications.
• Employee assistance programs, gym memberships, and wellness incentives.
• State‑of‑the‑art collaboration tools and a modern office environment equipped with ergonomic workstations.

How to Apply

If you are passionate about data, thrive in a collaborative setting, and are eager to make a tangible impact on careerzynith’s product and business strategy, we want to hear from you. Submit your application today and become a pivotal part of the careerzynith Data Adventures journey.

Apply Job!