Advanced Data Analyst

My name is Nick Davis and I am with InstantServe LLC. We're currently recruiting for a role that we think would be a great fit for someone with your skills and experience. Would you be open to learning more about this? I have included a brief job description below to help you better understand the qualifications we are looking for:

Our company places a high value on employee referrals, and we are willing to offer a generous referral bonus to anyone who successfully recommends a candidate that we end up hiring. If you know of anyone who you believe would be a great fit for this role, I would greatly appreciate it if you could provide a recommendation.

Job Title: Advanced Data Analyst

Permanent | Req ID: 53053

Location: (Hybrid) Grand Rapids, MI 49512

Job type: Full time Permanent

Shift: Full-time Days 8 hours a day 40 hours a week

Pay Range: USD Depends upon experience + Benefits

Must-Haves

1 - Bachelor's in data science, statistics, mathematics, or other analytical field

2 - Excellent communication and presentation skills

3 - Experience with analytical and data visualization tools

4 - 2+ years of work experience

5- SQL programming

Job Description

SUMMARY: The Advanced Data Analyst at Client performs rigorous analyses of quantitative and qualitative data. As part of the Information & Analytics team, they will have access to a robust data warehouse, leading analytical tools, and experienced colleagues. The individual selected for this role will perform organizational analytics projects in support of the client mission. Projects will include descriptive, diagnostic, predictive, and prescriptive analyses. The Advanced Data Analyst reports to the Manager of Analytics and is a member of the Information and Analytics (I&A) department. The I&A department consists of 20+ employees committed to transforming Company's performance through data intelligence. Within the team are business intelligence developers, accountability analysts, and advanced data analysts. This position requires on site work in Grand Rapids, MI.

DUTIES AND RESPONSIBILITIES: -

Work closely with internal departments to diagnose data needs, frame problems, and operationalize insights - Independently manage analytical projects through each stage of the process (question formulation, design, analysis, quality checks, communication of results) - Identify and apply the appropriate analytical strategy to the task at hand (descriptive, diagnostic, predictive, prescriptive) - Build data sets from various data sources and optimize for analysis through feature engineering - Develop and deploy custom data models/algorithms and monitor performance - Create data visualizations and reports as needed - Fulfill ad-hoc data requests and analyses - Effectively communicate results to stakeholders. Explain and present technical ideas and concepts to non-technical audiences with confidence and clarity, identify the story in the data, and provide a narrative around key ideas - Support the analytics team members through collaboration and collective problem solving

REQUIRED QUALIFICATIONS: -

Bachelor's degree in data science, statistics, mathematics, or other analytical field. Master's degree preferred. - Strong judgement, analytical, and problem-solving skills - Possess a curious mindset and entrepreneurial spirit - Excellent communication and presentation skills, both written and verbal, including confidence and presence to engage effectively with organizational leaders - Strong interpersonal skills to build a network of internal relationships with a broad cross-section of the organization and leverage organizational knowledge, resources, and expertise - Experience in various statistical analyses and treatments (especially explanatory and predictive modeling through various types of regression analysis) - Experience with analytical tools (SQL, SAS, R, Python, etc.) - Experience with data visualization tools (e.g., Tableau, Power BI) - Able to coordinate multiple tasks, set priorities, and deliver on specified time frames - Self-motivated with the ability to work effectively as a member of a team or independently - Approachable and willing to shift priorities in order to meet organizational needs - Strong working knowledge of Microsoft Word, Excel, and PowerPoint

PREFERRED QUALIFICATIONS: - 2+ years of relevant work experience - Proficient in SQL programming - Professional experience with causal modeling and quasi-experimental techniques (propensity score matching, regression discontinuity, difference in differences, etc.) - Professional experience with supervised and unsupervised machine learning techniques for classification, regression, and clustering - Experience with text mining / natural language processing (NLP) - Expertise in survey design and analysis to learn more about our core values, please click here.