IT Data Specialist / Data Whisperer na Scavuzzos Inc

Description

Data Whisperer Wanted: Turn Chaos Into Gold

Are you the type of person who gets genuinely excited when a SQL query runs in under 3 seconds?

We're hunting for a Data Analytics Engineer who doesn't just wrangle data—you make it sing opera, perform magic tricks, and occasionally do a little tap dance.

What You'll Actually Do (No Corporate Fluff Here)

• Transform messy data into beautiful insights that make executives go "Ooooh, ahhhh" in boardroom presentations
• Build dashboards so gorgeous that other departments will want to frame them and hang them in their living rooms
• Engineer data pipelines that flow smoother than your morning coffee routine (and are almost as essential)
• Detective work galore: Hunt down data anomalies like you're solving the mystery of who ate the last donut in the break room
• Optimize queries until they're faster than your coworker's lunch disappearance act

You Might Be Our Person If...

• You dream in Python and SQL (and occasionally wake up muttering "JOIN statements")
• You've ever used the phrase "correlation doesn't imply causation" at a dinner party
• You get a little thrill every time a data visualization perfectly captures a business insight
• You can explain why their conversion rate dropped last quarter without using words like "synergy" or "paradigm shift"
• You've built something with Pandas, Spark, or similar tools and lived to tell the tale
• You believe that clean data is a love language

What We're NOT Looking For

• Someone who thinks Excel is the pinnacle of data analysis
• A person who uses "data-driven" as their only adjective
• Anyone who creates pie charts with 47 slices (we need to talk about boundaries)

The Perks That Actually Matter

• Competitive salary (we checked—it's actually competitive, not just "competitive for this area")
• Remote-friendly culture (pants optional during video calls from the waist down)
• Learning budget for conferences, courses, and that expensive data science book you've been eyeing
• Really good coffee (this is non-negotiable)
• Work on projects that actually impact real humans, not just KPIs

Ready to Join Our Data Adventure?

Send us your resume and a brief note about the most interesting data problem you've ever solved. Bonus points if it involves something unexpected like optimizing pizza delivery routes or predicting when the office printer will break next.

Position: Data Specialist

Department: IT

Reports to: VP of Technology

FLSA Status: Exempt

Overview

The Data Specialist will play a critical role in transforming raw data into actionable insights. The Data Specialist will bridge the gap between data engineering and data analysis, designing and maintaining robust data pipelines while creating analytics solutions that drive business decisions.

Essential Functions & Responsibilities

Data Pipeline Development

• Design, build, and maintain scalable data pipelines using modern ETL/ELT tools and frameworks
• Implement data quality checks and monitoring systems to ensure data accuracy and reliability
• Optimize data processing workflows for performance and cost efficiency
• Collaborate with data engineers to integrate new data sources and improve existing infrastructure

Analytics & Reporting

• Develop and maintain dashboards, reports, and data visualizations using tools like Tableau, Power BI, or similar platforms
• Create automated reporting solutions to deliver insights to stakeholders on a regular basis
• Perform exploratory data analysis to identify trends, patterns, and anomalies
• Build and maintain data models that support business analytics and reporting needs

Data Transformation & Modeling

• Transform and clean raw data from various sources into structured, analysis-ready formats
• Design and implement dimensional data models and data warehousing solutions
• Write complex SQL queries and stored procedures for data manipulation and analysis
• Implement version control and documentation practices for all data assets

Collaboration & Communication

• Partner with business stakeholders to understand analytics requirements and translate them into technical solutions
• Work closely with data scientists, analysts, and other technical teams to support their data needs
• Provide technical guidance and mentorship to junior team members
• Present findings and recommendations to both technical and non-technical audiences

Supervisory Responsibilities

None

Requirements

Core Competencies

Technical Skills

• Programming Languages: High Proficiency in SQL, and at least one other language (R, Scala, Python, Node, or Java)
• Databases: Strong knowledge of relational databases (PostgreSQL, MySQL, SQL Server)
• Cloud Platforms: Hands-on experience with cloud services (AWS, Azure, or GCP) including data storage and processing services
• Visualization Tools: Proficiency in data visualization tools (Tableau, Power BI, Looker, or similar)
• Version Control: Experience with Git and collaborative development workflows

Analytical Skills

• Strong statistical knowledge and experience with data analysis methodologies
• Ability to work with large, complex datasets and identify data quality issues
• Experience with A/B testing, statistical modeling, and hypothesis testing
• Understanding of machine learning concepts and when to apply different techniques

Soft Skills

• Excellent problem-solving abilities and attention to detail
• Strong communication skills with ability to explain technical concepts to non-technical stakeholders
• Project management skills and ability to handle multiple priorities
• Self-motivated with ability to work independently and as part of a team

Preferred Qualifications

• Experience with real-time data processing frameworks (Apache Kafka, Apache Spark Streaming)
• Knowledge of data governance and compliance frameworks (GDPR, CCPA, SOX)
• Experience with containerization technologies (Docker, Kubernetes)
• Familiarity with DataOps and CI/CD practices for data pipelines
• Experience in agile development methodologies
• Domain expertise in relevant industry (distribution, finance, e-commerce, etc.)

Placement Criteria

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field
• 3-5 years of experience in data engineering, analytics engineering, or related roles
• All employees are expected to exhibit exemplary customer service skills, both with external customers, vendors, visitors, co-workers, and management staff. Their written and verbal communication skills should be concise and effective, they should aspire to excellence in both work and customer service, they should show courtesy to all they encounter while representing the Company. They are also expected to maintain an air of professionalism in their interpersonal relationships and personal grooming, exercise confidentiality concerning the affairs of the business, exhibit a willingness to learn, willingness to problem solve and willingness to step in to help others, and openly and actively participates in the direction of our Company. Scavuzzo’s views each of these traits as performance indicators, and employee appraisals reflect each of these attributes as an element of performance upon which employees are rated.

Physical Demands

While performing the duties of this position the employee is regularly required to sit and talk and hear. The employee is frequently required to use hands to finger, handle or feel and reach with hands and arms. The employee is consistently required to stand, walk, and drive or ride in a motor vehicle.