MarTech Engineer, BI Analyst
Homebased - Conway
Acxiom
Acxiom's data and technology transform marketing – giving our clients the power to manage audiences, personalize customer experiences and create profitable customer relationships.Key Responsibilities:
- Develop and maintain advanced data models, reports, and dashboards using Power BI.
- Utilize Python or R for advanced analytics and statistical analysis to uncover trends and insights.
- Design and implement machine learning models using AWS SageMaker for predictive analytics.
- Create and manage complex SQL queries to extract, manipulate, and analyze data from various sources.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Develop custom applications and automation workflows using Power Apps to streamline business processes.
- Perform data mining, cleaning, and transformation to ensure data quality and integrity.
- Utilize Databricks for big data processing and advanced analytics.
- Conduct thorough data and statistical analysis to support business decision-making.
- Present findings and recommendations to senior management and stakeholders clearly and concisely.
Required Skills and Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field. A Master’s degree is preferred.
- Proven experience as a Business Intelligence Analyst or similar role, focusing on advanced analytics and data analysis.
- Proficiency in Python or R for data analysis and statistical modeling.
- Strong SQL skills with experience in complex query writing and database management.
- Expertise in Power BI for data visualization and reporting.
- Experience with Power Apps for developing custom applications and automation.
- Hands-on experience with AWS SageMaker for machine learning and predictive analytics.
- Familiarity with Databricks for big data processing and advanced analytics.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication and presentation skills with the ability to convey complex information to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Skills:
- Experience with other BI tools and platforms (e.g., Tableau, QlikView).
- Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake).
- Certification in relevant BI and analytics tools (e.g., Microsoft Certified: Data Analyst Associate, AWS Certified Machine Learning).
- Experience with Adobe Marketing Cloud
- Adobe Experience Manager(AEM) (Site, Assets, Multi-Site Manager, Creative Cloud Asset Link)
- Adobe Target,
- Adobe Campaign
- Adobe Launch/Tag
- Adobe Experience Platform (RTCDP, Adobe Journey Optimizer, Adobe Journey Analytics)
Note: Any reference to years of experience should be disregarded in the UK.
Primary Location City/State:
Homebased - Conway, ArkansasAdditional Locations (if applicable):
Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here.
Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Analytics Business Intelligence Computer Science Data analysis Databricks Data Mining Data quality Data visualization Data Warehousing Machine Learning ML models Power BI Privacy Python QlikView R Redshift SageMaker Snowflake SQL Statistical modeling Statistics Tableau
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