EVERYMUNDO Data Analyst 2 Salary in the United States

EveryMundo (www.everymundo.com) is a fast-growing international Performance Marketing Technology company seeking to add a Data Quality Analyst to our team! Our headquarters are located in the heart of downtown Miami.

Our ideal candidate is up to the challenge of developing and maintaining automated data QA processes to ensure end-to-end data quality across all our products. The candidate will have a strong knowledge of querying databases, data quality assurance processes, statistical modeling, data mining/compilation, and predictive analytics and forecasting.

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This role will interact with data analysts, engineers, project and product managers, product implementation managers, and customer performance partners. The candidate will be working with very large amounts of dynamic data, therefore experience in big-data environments is a big plus.

REQUIREMENTS

Must be proficient:

• Programming: SQL, Python, Javascript
• Multiple visualization tools: Tableau, Google Data Studio, Amazon QuickSight

• Analytics tools (e.g. Google Analytics, Omniture)

• Application and infrastructure monitoring tools: Amazon Cloudwatch, Sumologic, Datadog

• Demonstrated knowledge of statistical modeling, data mining/compilation, predictive analytics and forecasting, and analysis to improve product quality and performance

Desired Qualifications:

• Bachelor Degree in Management Information Systems, Computer Science, and Mathematics Preferred
• Data Science-related education
• Experience with software project management software: Jira
• Serverless compute service: AWS Lambda

Expected Soft Skills

• Excellent communication skills and proven ability to work with analysts, engineers, development, leadership and clients towards a common goal
• Ability to analyze problems, estimate efforts, drive consensus and negotiate trade-offs effectively
• Continuously measures deliverables of self and team against scheduled commitments
• Operates with a high degree of autonomy and accountability
• Demonstrates the initiative to explore current industry trends and best practices and learns new methods and techniques to integrate for improved outcomes
• Excellent written and verbal communication skills to produce detailed documentation

POSITION RESPONSIBILITIES

Within 1 month of employment:

• Complete understanding of our technology infrastructure including internal applications and third-party tools
• Full familiarity with existing data flow and infrastructure
• Full familiarity with existing data QA processes
• Review and improve the plan towards end-to-end data quality

Within 3 months of employment:

• Work with all stakeholders to identify and solve any issues with FareNet data accuracy and related tables in DataCore on an ongoing basis
• Begin automation of data QA testing accessing data from our Microservices environment and testing it versus filtered raw data in Amazon Redshift
• Start with testing FareWire data accuracy
• Ensure accurate data display in airModules using automated processes by comparing fares in airModules with the fares users see in the Internet Booking Engine
• Automate airDPI fare accuracy checks
• Understand how to prioritize different issues raised and escalate them to the relevant project managers  

Within 6 months of employment:

• Complete automation of ongoing data QA testing of data from our Microservices environment
• Complete automation of ongoing data QA for fares displayed in airModules
• Support tracking developers in ensuring accurate data collection about user behavior with our products
• Ensure the data accuracy output in DA products (dashboards and embedded KPIs in other products)
• Work with other EveryMundo departments to perform data cleansing activities (e.g. removing outliers, missing data interpolation) to improve the data quality
• Manage with other EveryMundo departments the process to improve end-to-end data quality
• Implement alerts for automated notifications of data quality issues

Within 12 months of employment:

• Establish automated data QA processes for all other products and tables in Amazon Redshift to discover inconsistencies and other anomalies in the data in a timely manner: airSEM, FareNet, Third-party fare integrations
• Find ways to proactively address erroneous data and make it useful, e.g. predict missing values
• Enable other data QA team members locally and outsourced
• Mentor and assist colleagues on best practices, technology platforms, and database concepts
• Keep abreast of developments in the field and recommend plans for growth through the adoption of new methodologies and development, and promulgation of data management, analysis, and reporting standards

WHY WORK WITH US?

EveryMundo provides airlines with performance marketing technology and services. We work with 30 airlines worldwide ranging from major full-service carriers to low-cost carriers, based on 6 continents and marketing in over 30 languages.

We facilitate global online brand visibility and digital agility, empowering airline digital marketing/eCommerce departments to be effective while minimizing IT resources required. We enable airlines to grow their direct channels and own their customers.

EveryMundo believes strongly that our culture and values enable us to perform at the highest level for our airlines. The three pillars of our culture and the underlying core values are as follows:

• Empowerment: autonomy, accountability, courage, agility
• Learning: curiosity, experimentation, diversity
• Transparency: humility, honesty, empathy

This culture and system of values serve us internally while also guiding our interactions and decisions regarding our customers. It is important to us that our culture and values are represented in our strategies, our output, and our communications. We invite our customers to collaborate with us in the spirit of these values.