Data Analyst

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TYPE OF WORK

Full Time

WAGE / SALARY

$1000-$1,500

HOURS PER WEEK

40

DATE UPDATED

Sep 14, 2023

JOB OVERVIEW

About Trinity Road: For 25 years, Trinity Road has existed to promote Truth, Goodness, and Beauty by providing outstanding products and services to our customers that honor God and our community. Our brands include: The Catholic Company, ---------- , Good Catholic, Get Fed, Morning Offering, Catholic Coffee, Thank God for Coffee, and J.Lily.

Position Summary: The Data Analyst role is a critical member of the Trinity Road IT team. The ideal person for this role will hold characteristics of being patient and customer-oriented with a positive attitude, and able to work through issues quickly and effectively. As the primary tea ---------- mber responsible for managing data warehousing, data analysis, web analytics, and reporting; workdays will be determined by ticket volume and project ---------- sential Duties and Responsibilities:
Configure and manage web analytics platforms including Google GA4
Validate data and ensure quality and security is maintained at all times
Create and maintain Executive, Marketing, and Operational dashboards
Perform daily reporting duties; optimizing and automating when appropriate
Be the subject matter expert, train users, and provide support for all analytics platforms including Glew, GA4, BigQuery, Mode, Stitch, etc
Deliver high value data analysis, visualizations, and reports utilizing your knowledge of SQL, Python, R, Mode BI, Pandas, etc
Research, diagnose, and troubleshoot issues within the data and reports
Create monthly company-wide KPI reports
Document reporting, data, and security procedures
Other duties as assigned

Bachelor's degree in computer sciences, mathematics, statistics or related fields or certifications in Data Science or Analytics
Ability to diagnose and troubleshoot technical issues
Ability to provide step-by-step technical help, both written and verbal
Possess excellent problem-solving and communication skills
Service-oriented, people-centric and willingness to assist
2-3 years experience with SQL, Python, R, or other query languages
2-3 years experience with data visualization software including Power BI, Mode, or Tableau
1-2 years experience with web analytics including Google GA4 and Glew
Willing to be trained on and learn new systems and be as proficient as possible
Self-starter able to work with minimal direction
Able to quickly assess situations and adapt to dynamic priorities
Demonstrate excellent and effective communication skills working in a collaborative environment
Demonstrated ability to multitask, prioritize and re-prioritize as necessary to meet deadlines
COMPTIA Data+ or similar certifications are a plus

Candidates with less than the required work experience will be declined. Our hiring process includes a series of interviews (both email and video), a small project, and a test to validate your skills.

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un-02-2025=1***Jun-03-2025=1***Jun-04-2025=1***Jun-05-2025=3***Jun-06-2025=2***Jun-07-2025=1***Jun-09-2025=3***Jun-10-2025=4***Jun-11-2025=2***Jun-13-2025=1***Jun-16-2025=1***Jun-21-2025=1***Jun-22-2025=1***Jun-23-2025=2***Jun-24-2025=2***Jun-25-2025=3***Jun-26-2025=1***Jun-28-2025=1***Jun-29-2025=1***Jun-30-2025=1***Jul-01-2025=2***Jul-02-2025=1***Jul-03-2025=1***Jul-04-2025=2***Jul-06-2025=1***Jul-07-2025=1***Jul-08-2025=2***Jul-09-2025=1***Jul-11-2025=1***Jul-12-2025=1***Jul-13-2025=4***Jul-14-2025=2***Jul-16-2025=4***Jul-17-2025=1***Jul-18-2025=5***Jul-19-2025=1***Jul-21-2025=3***Jul-24-2025=2***Jul-26-2025=1***Jul-27-2025=3***Jul-28-2025=2***Jul-29-2025=1***Jul-30-2025=5***Jul-31-2025=1***Aug-01-2025=3***Aug-03-2025=2***Aug-04-2025=3***Aug-05-2025=1***Aug-06-2025=1***Aug-09-2025=2***Aug-11-2025=1***Aug-12-2025=3***Aug-13-2025=1***Aug-14-2025=3***Aug-15-2025=1***Aug-16-2025=1***Aug-17-2025=3***Aug-19-2025=4***Aug-20-2025=2***Aug-21-2025=3***Aug-23-2025=2***Aug-26-2025=2***Aug-27-2025=3***Aug-28-2025=1***Aug-29-2025=3***Aug-31-2025=1***Sep-01-2025=2***Sep-02-2025=2***Sep-03-2025=2***Sep-04-2025=1***Sep-06-2025=2***Sep-08-2025=2***Sep-09-2025=3***Sep-10-2025=2***Sep-11-2025=1***Sep-12-2025=4***Sep-13-2025=2***Sep-15-2025=1***Sep-17-2025=1***Sep-18-2025=1***Sep-20-2025=1***Sep-21-2025=2***Sep-23-2025=3***Sep-24-2025=1***Sep-26-2025=2***Sep-27-2025=5***Sep-28-2025=1***Sep-29-2025=1***Oct-01-2025=3***Oct-02-2025=5***Oct-03-2025=5***Oct-04-2025=1***Oct-05-2025=2***Oct-06-2025=1***Oct-07-2025=1***Oct-08-2025=3***Oct-09-2025=5***Oct-10-2025=2***Oct-11-2025=3***Oct-12-2025=1***Oct-13-2025=1***Oct-14-2025=5***Oct-15-2025=1***Oct-17-2025=3***Oct-18-2025=1***Oct-19-2025=3***Oct-20-2025=1***Oct-22-2025=5***Oct-23-2025=3***Oct-24-2025=3***Oct-25-2025=4***Oct-27-2025=1***Oct-28-2025=1***Oct-29-2025=1***Oct-30-2025=1***Oct-31-2025=4***Nov-01-2025=3***Nov-02-2025=2***Nov-03-2025=1***Nov-04-2025=6***Nov-05-2025=8***Nov-10-2025=3***Nov-11-2025=2***Nov-14-2025=1***Nov-16-2025=1***Nov-17-2025=2***Nov-18-2025=1***Nov-22-2025=2***Nov-23-2025=1***Nov-24-2025=4***Nov-25-2025=2***Nov-26-2025=3***Nov-27-2025=3***Nov-28-2025=1***Nov-29-2025=2***Nov-30-2025=2***Dec-01-2025=3***Dec-02-2025=10***Dec-04-2025=1***Dec-05-2025=3***Dec-06-2025=1***Dec-07-2025=3***Dec-09-2025=1***Dec-10-2025=4***Dec-11-2025=2***Dec-12-2025=1***Dec-14-2025=1***Dec-15-2025=2***Dec-16-2025=3***Dec-18-2025=2***Dec-19-2025=4***Dec-20-2025=1***Dec-21-2025=1***Dec-22-2025=1***Dec-23-2025=1***Dec-27-2025=1***Dec-28-2025=4***Dec-30-2025=2***Jan-05-2026=1***Jan-06-2026=1***Jan-08-2026=1***Jan-09-2026=4***Jan-10-2026=1***Jan-11-2026=4***Jan-13-2026=2***Jan-20-2026=2***Jan-23-2026=1***Jan-25-2026=1***Jan-26-2026=1***Jan-27-2026=1***Jan-28-2026=3***Jan-29-2026=4***Jan-31-2026=2***Feb-01-2026=1***Feb-02-2026=1***Feb-03-2026=1***Feb-04-2026=1***Feb-06-2026=1***Feb-08-2026=1***Feb-09-2026=1***Feb-10-2026=1***Feb-13-2026=2***Feb-14-2026=1***Feb-19-2026=1***Feb-20-2026=1***Feb-22-2026=1***Feb-25-2026=2***Feb-26-2026=1***Mar-10-2026=1***Mar-11-2026=1***Mar-17-2026=1***Mar-18-2026=1***Mar-19-2026=1***Mar-23-2026=3***Mar-30-2026=1***Apr-01-2026=2***Apr-04-2026=1***Apr-06-2026=1***Apr-07-2026=1***Apr-14-2026=2***Apr-15-2026=4***Apr-19-2026=1***Apr-20-2026=3***Apr-23-2026=1***Apr-24-2026=1***Apr-29-2026=1***May-01-2026=1***May-03-2026=1***May-06-2026=3***May-10-2026=1***May-11-2026=1***May-13-2026=3***May-15-2026=2***May-17-2026=2***May-19-2026=2***May-20-2026=1***May-21-2026=2***May-23-2026=1***May-26-2026=1***May-27-2026=2***Jun-01-2026=3***Jun-02-2026=1***Jun-15-2026=1***Jun-20-2026=1' WHERE job_id'1010160'  
0.0007   UPDATE employer_jobs SET monthly_hits '***Jul-2023=732***Aug-2023=426***Sep-2023=750***Oct-2023=101***Nov-2023=156***Dec-2023=155***Jan-2024=279***Feb-2024=299***Mar-2024=283***Apr-2024=121***May-2024=121***Jun-2024=121***Jul-2024=513***Aug-2024=107***Sep-2024=58***Oct-2024=75***Nov-2024=97***Dec-2024=55***Jan-2025=77***Feb-2025=59***Mar-2025=69***Apr-2025=56***May-2025=44***Jun-2025=33***Jul-2025=48***Aug-2025=46***Sep-2025=42***Oct-2025=70***Nov-2025=50***Dec-2025=52***Jan-2026=29***Feb-2026=17***Mar-2026=9***Apr-2026=18***May-2026=23***Jun-2026=6' WHERE job_id'1010160'  
0.0017   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1010160' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1010160 
0.0016   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '558386'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0015   SELECT FROM skill_categories WHERE skill_cat_id='' 
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