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'Quality without Compromise' is not just a motto at See's Candies. It is the most important ingredient in our recipe for success. See's Candies has been in business since 1921 and maintains a reputation for producing the highest quality candy and providing superior customer service.
See's is a leader in the confectionary industry with over 250 retail shops across the USA. We are seeking friendly, enthusiastic individuals who are passionate about providing great customer service.

Job Description Summary:

The Marketing Analyst role supports the management of data sources, data analysis, reporting, pricing analysis and development of pricing recommendations. This role requires a strong quantitative background to review and analyze marketing campaigns, sales, seasonal and ongoing businesses as well as pricing using marketing data, current and historical company data, competitive data and trends. Collaboration across Analytics, Sales and Marketing departments is key to success. We are seeking an enthusiastic data-driven individual who is ready to grow their career in retail marketing.

The pay range for this position is expected to be $90,000-$100,000; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

POSITION RESPONSIBILITIES:
1.    Develop and manage reporting dashboards for all marketing campaigns.
2.    Partner with the Analytics team to set up and report data on company platforms.
3.    Perform competitive analysis on similar brands, products and services.
4.    Work with large data sets, undertaking in-depth quantitative analysis, and distilling data into practical and intuitive strategies for marketing and pricing planning.
5.    Support marketing data analysis and ad hoc reporting needs.
6.    Provide weekly reporting on marketing campaigns as well as end of campaign and season recaps.
7.    Analyze results and develop recommendations for multiple marketing tactics including but not limited to Direct Mail, Digital Media, Social Media and Traditional Marketing channels.
8.    Analyze customer data, campaign data and survey data to inform strategic planning, customer acquisition and customer retention tactics.
9.    Manage and update price lists for seasonal and all year inventory.
10.    Manage Price list development, updates and review.
11.     Provide holistic recommendations to the marketing team on optimizations that can drive meaningful impact for the company.
12.    Synthesize large amounts of data to make business decisions and recommendations.
13.    Work cross-functionally with teams including but not limited to Marketing, Sales, Analytics, Merchandising and Finance to develop marketing and pricing business intelligence and reporting frameworks.
14.    Continue to seek out innovation for marketing data and analysis efforts.
15.    Completes other duties and special projects as requested by management. 
16.    Responsible for identifying opportunities to enhance technology and innovation that will improve departmental effectiveness.
17.    All See’s staff must be committed to the company’s core principles and workplace values, including diversity and inclusion.

CORE CAPABILITIES:
1.    Exceptional verbal, written, and interpersonal communication skills.  
2.    A logical thought process and a strategic vision with attention to detail.
3.    Possess sound knowledge of quantitative and qualitative data analysis methods.
4.    Enthusiastic self-starter and resourceful problem-solver.
5.    Data-driven mindset and strategic understanding around using data.
6.    Relationship management, both internal and external.
7.    Ability to work in a fast paced environment while being detail-oriented.
8.    Ability to make effective and efficient time management decisions.
9.    Prepare and assess success of programs against Key Performance Indicators (KPIs).

MINIMUM QUALIFICATIONS:
1.    Bachelor degree required, mathematics, statistics, finance, economics, or in a related field preferred. Equivalent related work experience may be considered in lieu of degree.  
2.    2-5 years of Data Analytics experience ideally from a retail or e-commerce brand.
3.    Expertise in Microsoft Excel, Google Sheets & Google Analytics, SQL. Tableau and R a plus. 
4.    Proficiency in business intelligence (BI) software, such as PowerBI. In-depth knowledge of statistical methods and data analysis.
5.    Strong analytical and problem-solving skills; detail-oriented mind-set. Ability to manage multiple projects and priorities.
6.    Proven ability to achieve results in a fast-moving, dynamic environment.
7.    Excellent written and verbal communication skills; strong presentation skills.
8.    Interest and experience in retail pricing is a plus.
9.    Proven ability to learn new technologies quickly and manage change efficiently, proactively and in a positive manner. 

The total compensation package for this position may also include other elements, in addition to a full range of generous medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. 

See's is an EOE
See’s will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance #131192 and Los Angeles Municipal Code 189.00).