Senior Data Architect & Analyst  
Atlanta, GA up to 75%
We are currently seeking to fill a Senior Data Architect & Analyst position. The position requires 5 – 15 years of prior experience as a data analyst or architect. The position is a consultative technical position working with large enterprise customers who will implement data management solutions on multiple BI platforms. We are looking for a candidate who can interact directly with our clients to consult, solicit business rules, design and build solutions to address the client’s business intelligence and/or data management challenges. The Senior Data Architect & Analyst maybe required to build, modify, and maintain data entities based on customer requirements and initiatives. This position requires working well in teams, as well as independently on projects. As a customer facing position, excellent communication (oral and written), customer expectation management, responsiveness to customer needs, being proactive in anticipating technical challenges, being meticulous and having a consultative approach are extremely important to be successful in this position. 

The ideal candidate will be responsive to customer needs, take a proactive approach in anticipating technical and political challenges throughout a project, have great organization skills with attention to detail, and will take a consultative approach to solving complex Data Management issues.

Candidates must demonstrate expertise with Tableau for dashboard development and have advanced skills to query and manipulate data using both SQL and Excel. Candidates must demonstrate proficiency in making useful inferences and driving improvement actions from large data sets that are messy and not easily understood. There may be up to 75% travel required and daily work activities are managed within a virtual environment supported by the ability to telecommute.
·Analytical: Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data. Ability to read, analyze, and interpret common technical journals, and documents.

· Problem Solving: Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics.

· Interpersonal: Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things.

· Oral Communication: Speaks clearly and persuasively in positive or negative situations; listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings.

· Team Work: Balances team and individual responsibilities; Ability to multi task and manage multiple projects and priorities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed; Recognizes accomplishments of other team members.

· Attendance/Punctuality: Is consistently at work and on time; Ensures work responsibilities are covered when absent; Arrives at meetings and appointments on time.

· Dependability: Follows instructions, responds to management direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan.

· Innovation: Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention.

· Motivation: Sets and achieves challenging goals; Demonstrates persistence and overcomes obstacles; Measures self against standard of excellence; Takes calculated risks to accomplish goals.
· Effectively communicate with internal and external customers to capture current data management requirements and objectives from different stakeholders that define their needs.

· Define and document business intelligence policies and procedures, standards, and metrics to support a customer analytic business rules.

· Establish data quality processes and compliance with data standards for data domains.

· Troubleshoot issues with data quality as identified by customers.

· Perform activities to address data extraction, data validation, data cleanings, data harmonization, business logic, exception handling and required data indication.

· Design and build a data inventory including field definitions, ontologies, list of values (LOVs), and mappings as requested by customer and defined by requirements.

· Understand key data relationships and customer’s data domains.

· Collaborate with business process owners, data producers and data consumers to get an understanding of current processes and systems that has a direct impact on the quality of the enterprise data.

· Work with Data Architects to define and maintain a customer data model and Analytics solutions.

· Work with stakeholders and the technical team to establish and manage match/merge that identify duplicate data across data sources and align required action such survivorship and trust rules in accordance with the organization's data governance procedures.

· Assist customers with validating data integration from operational systems to future solutions.
· 5-15 years experience working at an enterprise level with customer data domain

· Statistical analysis tools (MiniTab, SAS, SPSS, etc.…)

· Data Visualization Tools (Tableau, Tableau Server, PowerBI, Qlik, etc)

· Advance SQL (SQL, Stored Procedures, Dynamic SQL, Joins, Aggregation, etc)

· Deep understanding of Data Storage Solutions (Big Data, RDBMS, NoSQL)

· Deep understanding of a couple Database Systems (Oracle, SQL Server, My Sql,

· Postgress, etc)

· Skilled in one scripting language, such as, Ruby, Javascript, Python, VBScript, Shell Script

· Deep understanding of Data Governance, Data Integrity, Master Data Management, Data Quality Design, Develop, and Deployment Best Practices

· Deep understanding of technology based businesses processes, including related business models, technical components, modern software development processes, ie, Agile Scrum, etc..

· Experience structuring and analyzing large quantities of data and information for statistical and analytical modeling

· Deep understanding of Business Intelligence Best Practices, Architectures, Tools, Methodologies, and Software

· Strong oral and written communication skills

· Proven ability to partner with client stakeholders from various parts of an organization

· Ability to handle multiple tasks and work streams in a fast-paced environment

· Data Architect deep understanding of ETL Tools, Best Practice Processes (Enterprise ETL Tools, Self-Service, Data Preparation)

· SDLC methodologies (Waterfall and Agile Development)

· Good communication and leadership skills

· Experience with Data Modeling tools like ERwin, Visio, ER/Studio, Oracle Designer
MinitabMS ExcelSASSPSSSQLTableauETL ToolsRDBMSNoSqlBigDataAlteryx
MBA (Business Process Concentration)Master's DegreeBachelor’s DegreeIndustrial and Systems EngineeringDecision AnalysisMathematicsComputer SciencePhysicsStatisticsBusinessMBA (Technology) 5 - 10 Years
AmbitionAnalytical ThinkingBuilding RelationshipsBusiness Systems ThinkingCommunicationConflict ResolutionCustomer OrientationDecision MakingDetail-OrientedFlexibilityFollow-up and ControlInitiativeInterpersonal SkillsInnovationIntegrityListeningPlanning and OrganizationProblem SolvingTeamworkTime Management Schedule
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When you bring additional fields into a conversion, Quickbase often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quickbase finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quickbase needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

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