Data Analyst

Ampcus Inc; New Haven (CT); Presencial; USD 65.000 - 90.000; Jornada completa

Descripción de la vacante

iTech Solutions, Inc. is seeking a Data Analyst to join a growing Data Analytics Center of Excellence. The role supports a diversified analytics team, expanding data science methods and providing market insights to inform business decisions and brand strategy.

You will build and maintain analytics solutions, working with business users and other analysts to deliver outcomes of moderate complexity and drive data-driven decisions across units.

Formación

• BA/BS in Business, Statistics, Analytics, or Marketing; master’s preferred or equivalent experience.
• 3–5 years of data analysis, predictive modeling, or statistical modeling in a business function.
• Experience improving business processes using data and statistical analysis.

Responsabilidades

• Collaborate with business leaders to identify goals and deliver analytics solutions.
• Develop predictive analytics, visualizations, and workflows for operational insights.
• Enrich data sources with internal and external data to support analytics.
• Communicate insights via dashboards and reports for internal and external use.
• Coordinate with IT, data teams, vendors, and contractors on data needs.
• Stay current on analytics trends to maintain competitive advantage.
• Foster a data-driven culture with training and data days for staff.
• Meet with stakeholders to ensure clear project communication.
• Other related duties as assigned.

Conocimientos

Data analysis

Communication

Cross-functional collaboration

Data visualization

Problem solving

Storytelling with data

Change management

Project management

Teamwork

Educación

BA/BS in Business, Statistics, Analytics, or Marketing

3–5 years data analysis experience

Record of business process improvement

Herramientas

Snowflake

Tableau

Alteryx

AQT

ArcGIS

SQL

R

Python

Excel (VBA)

Descripción del empleo

Overview

Our client is seeking a Data Analyst to join a growing team of data analytics professionals and a best-in-class Data Analytics Center of Excellence. This role will be part of a diversified analytical team, whose aim is to expand new and upcoming data science and predictive methodologies, to provide strategic market insights that enable effective, data-driven decision-making for business units, while staying closely aligned to brand strategy and priorities.

Overview

Our client is seeking a Data Analyst to join a growing team of data analytics professionals and a best-in-class Data Analytics Center of Excellence. This role will be part of a diversified analytical team, whose aim is to expand new and upcoming data science and predictive methodologies, to provide strategic market insights that enable effective, data-driven decision-making for business units, while staying closely aligned to brand strategy and priorities.

The Data Analyst is responsible for identifying, building, and maintaining data analytics solutions to meet the needs of business users. This role will produce analytics products by working with the business and the other data analysts to deliver outcomes of moderate complexity.

Core Responsibilities

• Actively collaborate with business leaders to understand their business goals and objectives and provide them with new data analytics solutions to enable them to expand markets and grow membership, sales, investments, and charitable giving.
• Enhance existing and develop new predictive analytics work products, visualizations, and workflows to analyze complex business issues, offering actionable insights and solutions for driving operational enhancements and enterprise growth through strategic data-driven decisions.
• Identify and enhance valuable data sources (within the organization and externally) through the enrichment of existing in-house data with third-party data sources.
• Communicate insights through the development and implementation of data visualizations, dashboards, and reports for internal and external use.
• Collaborate with Department managers, IT, IT Security, Data Warehouse, vendors, and contractors regarding enterprise and departmental data needs.
• Remain current on new analytical trends, practices, technologies, and solutions, where appropriate to ensure their timely introduction for competitive advantage.
• Grow a culture of data analytics by providing training, awareness, and other events such as "data days" for employees in the business whose duties encompass data and analytics.
• Meet with stakeholders and make communication easy and transparent regarding project issues and decisions.
• Other related duties as assigned.

Skills Qualifications

• Analyze, interpret, and present data using industry-relevant software i.e., Snowflake, Alteryx, Tableau, Power BI, ArcGIS, or other industry software.
• Effective oral and written skills.
• Comfortable talking about technical matters with businesspeople and business matters with technical people.
• Ability to come up with previously uncovered analysis on business improvement based on new data sets.
• Ability to verbally articulate complex analysis and insight simply.
• Ability to analyze information to find trends or diagnose problem areas.
• Decisive ownership of the data gathered and the ability to make informed, critical decisions quickly.
• Understanding of CRM, ERP, and Data Warehouse/Data Lake applications and structures.
• Understanding of cloud-based application architectures.
• Expert understanding of project management.
• Excellent interpersonal, analytical, and problem-solving skills.
• Relates well to others, engages people, and helps them understand change, provides and looks for feedback, articulates clearly, and actively listens.
• Teamwork skills with the ability to work in complex cross-functional settings.
• Comfortable working in a constantly changing work environment with multiple competing projects and priorities; able to work well with complexity and ambiguity.
• Understanding of change management principles.
• Ability to gather data, compile information, and prepare reports.

Education

• BA or BS degree with emphasis in Business, Statistics, Analytics, or Marketing. Masters degree in Business, Statistics, Computer Science, or Marketing preferred, or equivalent professional experience.
• 3 to 5 years of Data analysis, predictive modeling, statistical modeling. Working within a business function to support the data building and analysis for business units.
• Record of business process improvement using data and statistical analysis.

Systems/Technical Knowledge

• Experience using advanced data analytics and geo-spatial applications including, Snowflake, Tableau, Alteryx, AQT, and ArcGIS.
• Strong SQL programming skills.
• Experience with predictive analytics using R and/or Python.
• Proficiency in several areas of data modeling, statistical analysis, data engineering, and data visualization. Experience with databases and similar applications.
• Experience in Access/Excel with VBA scripts, PowerPoint.

Since 1995, iTech Solutions Inc., has been providing IT Consulting and Direct Hire Services to the Insurance, Financial, Communications, Manufacturing and Government sectors with local offices in Connecticut, Minnesota, Colorado, Massachusetts, Tennessee, North Carolina, and New Jersey / Pennsylvania area.

Our recruiting strategy is simple, if you want to find qualified IT professionals then use IT professionals to find them. So at iTech Solutions, our personnel are all career IT professionals with a wide range of IT experience. We can honestly say our staff understands the technologies, the complexities of finding and selecting the appropriate personnel and the pressures of running successful IT projects.

Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position.

iTech Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.