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Data Analyst I Fully Remote • Signal Hill Office - Signal Hill, CA 90755 Apply Overview Salary Range $114,000.00 - $140,000.00 Salary Level Entry Position Type Full Time Job Shift Day Education Level Bachelor's Degree Travel Percentage Negligible Category Information Technology Apply Data Analyst I POSITION SUMMARY: In this role, you will support data analysis, data modeling, and data warehousing efforts that directly impact our business, business partners, and clients in claims, underwriting, and risk assessment strategies. Whether you’re a recent graduate or early in your career, this position offers a strong foundation in data science, data warehousing, and insurance analytics, with opportunities for growth and development. DUTIES AND RESPONSIBILITIES: Assist in building data warehouse, dashboards, and reporting tools for actuarial, claims, and underwriting teams. Collaborate with business units to develop data-driven insights for loss prevention and reserve modeling. Clean, organize, and merge structured data from internal and third-party sources. Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic planning. Analyze claims, policy, and exposure data to identify trends in injury types, loss costs, and claim durations. Apply basic statistical techniques or predictive models to support pricing, claims triage, or fraud detection. Strong SQL development skillset in Postgres or any RDBMS database, data warehouse experience, Python, or Java core programming as a plus PREFERRED SKILLS (Not Required) Knowledge of workers’ compensation insurance and claims workflows Internship or project experience in insurance analytics, risk modeling, or predictive modeling. Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO). Qualifications QUALIFICATIONS REQUIRED: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. 0–3 years of experience in data science, analytics, or insurance-related projects (academic or professional). Familiarity with data tools such as SQL, Python, R, or SAS. Familiarity with Data warehouse techniques and practices Hands on any data warehouse product Exposure to data visualization tools (e.g., Power BI, Tableau). Strong attention to detail, curiosity, and willingness to learn industry-specific data concepts. Ability to work independently and collaboratively with cross-functional teams. Here are some of the benefits you can enjoy in this role: Medical, Dental, Vision Insurance Life and Disability Insurance 401(k) plan Paid time off Paid holidays M e n t a l a n d P h y sical R e q ui r eme n t s : M E N T A L A N D P H YS I C A L RE Q U I RE M E N T S 1 . ME N T A L E F F O RT a . R e a s o n i n g d e ve l o p m e nt : : F o l l o w o n e - o r t w o - st e p i n s t r u c t i o ns ; r o u t i n e , rep e t i ti v e t a sk . C a rr y o u t d e t a i l b u t u n i n v o l v e d w r i tt en o r verb a l i n s t r u c t i o n s ; de a l w i t h a f ew c on c re t e v a r i a b l e s . F o l l o w w r i tt e n , ve r b a l , o r d i a g r am m a t ic i n s t r u c ti o n s ; s e ver a l c on c r e t e v a r i a b l e s . X S ol v e pr a c t i c a l p r o b l e m s ; v a r i e t y o f v a r i a b l es w i th l i m it ed st an d a rd i za t i o n ; i n t e r pre t i n st r u c t i o ns . L o g i c a l o r s ci e nti f i c t h i n k i n g to s o l v e pr o b l e ms ; s ever a l a b st r a c t a n d c o n cre t e v a r i a b l e s . W i d e r a ng e o f i n t e l l e c t u a l a n d pr a c t i c a l pr o b l e ms ; co m pre h e n d m o s t o b s c u r e c o n c e p ts . b . Ma th e m a ti c a l dev e l o p m e nt : S im p l e a dd i t i o n a l a n d su b t r a c ti o n ; c o p y i n g f i g u re s , c o u nt i n g , an d r e c o r d i n g . A dd , su b tr a c t , m u lt i p l y , an d d i v i d e w h o l e n u m be r s . X A r i t hm e t i c c a l c u l a t i o n s in vo l v i n g fr a c t i o n s , de c i m a ls , a n d perce n t a g e s . A r i t hm e t i c , a lg ebr a i c , a n d g e o m e t r ic c a l c u l a t i o ns . A dv a n ce d m a t h e m a ti c a l an d st a t is t i c a l t ec hn i qu e s su ch a s c a l c u l u s , f a c t o r a n a l y s is , a n d p r o b a b i l i t y de t er m i n a t i o n . Hi g h l y co m p l ex m a t h e m a ti c a l a n d st a t i s t i c a l t ec h n i q u es s u c h a s c a l c u l u s , f a c t o r ana ly s is , a n d pr o b a b i l it y de t e r m i n a t i o n ; r e q u i re s t h e o r e t i c a l a pp l i c a t i o n . c . L a n g u a g e dev el o p m e n t : A b i l it y t o u n der s t a n d a n d f o l l o w ve r b a l o r de mo n s t r a t ed i n st r uc t i o ns ; w r i t e i d e n t i f y i n g in f o r m a t i o n ; re q u e st s u p p l i e s verb a ll y o r i n w r i t i n g . A b i l it y t o f il e , po st , an d m a il m a t e r i a l s ; c o p y d a t a fr o m on e rec o r d to an o t h er ; i n t e r v i e w t o o b t a in b a si c in f o r m a t i o n s u c h a s a g e , o c c up a t i o n , a n d n u m b er o f c h il d r e n ; g u i d e p e o p l e a n d pr o v i d e b a si c d i rec t i o n . A b i l it y t o t r an s cr i b e d i c t a t i o n ; m a k e a p p o i n t m e n ts a n d pr o c e s s m a i l ; w r i t e f o rm l e t t er s o r r o ut i n e c o rr e s p on d e n ce ; i n t erpr et w r itt en wo rk i n s t r u c t i o ns ; i n t erv i ew j o b a p p l i c a n t s . X A b i l it y t o c o m p os e o r i g in a l c o rr e s p on d e n ce , f o l l o w t e ch ni c a l m a nu a l s , an d h a v e i n c re a s e d c o n t a c t wi th p e o p le . A b i l it y t o r e p o r t , w r it e , o r e d i t a r t i c l es f o r p u b li c a ti o n ; p rep a r e deed s , co n t r a c t s o r l e a s e s , p r e p a r e a n d de l i ve r l ec t u re s ; i n t erv i e w , c o u ns e l , o r a d v i s e p e o p l e ; ev a lu a t e t e c h n i c a l d a t a . 2 . P HY S I C A L E F F O RT a . P h y s i c a l a c t i v i t y r eq ui re d t o perf o rm t h e j o b : S ede nt a ry w o r k : Exer t i n g up t o 1 0 p o u n ds o f f o rc e o cc a s i o n a ll y a n d /o r a n e g l igi bl e a m o u n t o f f o rc e fr e qu e n t l y o r co n st a n tly to li f t , c a rr y , p u s h , p u l l , o r o t h e r w i se m o v e o b j ec t s . S e d e nt a ry w o rk in v o l v e s s i tt i n g m o st o f th e t im e . J o bs a r e s ed e nt a ry i f w a lk i n g a n d s t a n d i n g a r e r eq ui re d o n l y o cc a s i o n a l l y a n d a ll o th e r s e d e nt a ry cr i t e r i a a r e m e t . X L i g h t wo r k : a . Exer t i n g u p to 2 0 p o u n d s o f f o rc e o cc a s i o n a l l y b . Exer t i n g u p to 1 0 p o u n d s f r e q u e n t l y c . Exer t i n g a n e g l i gi b l e a m o u n t o f f o rc e c o n st a nt ly to m o ve o b j ec ts (I f th e us e o f a r m a n d /o r l eg c o nt ro l s r e q u i r es exer t i o n o f f o rc es g r e a t e r t h a n t h a t f o r S ede nt a ry W o rk a n d th e w o r k er s i t s m os t o f t h e t i m e , t h e jo b i s r a t e d f o r L i g h t W o r k) . M ed i um w o r k : a . Exer t i n g u p to 5 0 p o u n d s o f f o rc e o cc a s i o n a l l y b . Exer t i n g u p to 2 0 p o u n d s o f f o rc e fr e qu e n t l y c . Exer t i n g u p to 1 0 p o u n d s o f f o r c e c o n st a n t l y to m o v e o b j ec ts H e a v y w o r k : a . Exer t i n g u p to 10 0 p o u n d s o f f o rc e o cc a s i o n a l l y b . Exer t i n g u p to 5 0 p o u n d s o f f o rc e fr e qu e n t l y c . Exer t i n g u p to 2 0 p o u n d s o f f o rc e c o n st a n t l y to m o v e o b j ec ts Ver y h e a v y w o r k : a . Exer t i n g i n exce ss o f 10 0 p o un ds o f f o rc e o cc a s i o n a ll y b . Exer t i n g i n exce ss o f 5 0 p o u n d s o f f o rc e c o n st a nt ly to m o v e o b j ec ts c . Exer t i n g i n exce ss o f 2 0 p o u n d s o f f o rc e c o n st a nt ly to m o v e o b j ec ts b . V i s u a l r e q u i r e m e n t s n ec e s s ar y t o perf o r m th e j o b : F a r v i s i o n : c l a r i t y o f v i s i o n a t 2 0 fee t o r m o r e X Ne a r v i s i o n : c l a r i t y o f v i s i o n a t 2 0 i n c h e s o r l e s s X M i d-r an g e v i s i o n : c l a r i t y o f v i s i o n a t d ist a n c es o f m o r e t h a n 2 0 i n c h e s a n d l e s s th a n 2 0 fee t D ep th pe r cep t i o n : t h e a b il ity to j u d g e d i s t a n c e a n d s p a ce re l a t i on s h i p s , so a s t o s e e o b j ec ts w h er e a n d a s t h ey a c tu a ll y a r e C o l o r v i s i o n : a b il i t y t o i de n ti f y a n d d i s t i n g u i sh c o l o r s Fi e ld o f v i s i o n : a b il i t y t o o b s erv e a n a re a u p o r d o wn o r t o t h e r i g h t o r l e f t w h i l e e yes a r e f i xe d o n a gi v en p o i n t 2 . P HY S I C A L E F F O RT ( co n t . ) FR E Q U E N CY c . P hysi c a l a ct i v i t y ne c ess ar y t o p e r fo r m t h e j o b a n d f r eq u en c y ( e .g. , c on t in u a lly , f r eq u en t ly , o r o c c a sion a lly) : C li m b ing : A s c endin g o r des c endin g l a dde r s , s t a i r s , s c a ffolding , ra mp s , p oles , a n d t h e like , u sin g fee t a n d leg s a nd / o r h a nd s a n d a r m s . Bod y a gi l i t y i s e mp h a si z ed . Thi s f a ct o r i s i m p o r t a n t i f t h e a m o u n t a n d kin d o f c li m b in g r eq u i r e d ex c eed s t h a t r e q u i r e d fo r o r din ar y lo c o m o t ion . B a l a n c ing : M a in t a inin g b od y eq u ili b r i um t o p r e v e n t f a llin g w he n wa lki n g , s t a nding , o r c r o uc hin g o n n arr o w , sli pp e r y , o r e rra t i c a ll y m o v in g s u r f a c es . Thi s f a ct o r i s i mp o r t a n t i f t h e a m ou n t a n d kin d o f b a l a n c in g ex c eed s t h a t neede d fo r o r din ar y lo c o m o t i on a n d m a in t en a n c e o f b od y eq u i li b r i um . X St o o p ing : Bendin g b od y do w n war d a n d f o rwar d b y b endin g s p in e a t t h e wa is t . Thi s f a ct o r i s i mp o r t a n t i f i t o c c u r s t o a c onside ra b l e deg r e e a n d r eq u i r e s f u l l u s e o f t h e lo w e r ex t r e m i t ie s a n d b a c k mu s c les . X K neeling : Bendin g leg s a t kne e t o c o m e t o a r es t o n kne e o r knees . X C r o uc hing : Bendin g t h e b od y do w n war d a n d fo rwar d b y b endin g leg s a n d s p ine . C raw ling : Mo v in g a b o ut o n h a nd s a n d k n ee s o r h a nd s a n d fee t . X R e a c hing : Ex t endin g h a nd(s ) a n d a r m (s ) i n a n y di r e ct ion . O cc a sion a ll y O cc a sion a ll y O cc a sion a ll y O cc a sion a ll y O cc a sion a ll y X St a nding : P ar t i cu l ar l y fo r s u s t a ine d p e r iod s o f t i m e . X W a lking : Mo v in g a b o ut o n fo ot t o ac c o m p lis h t a sks , p ar t i cu l ar l y fo r lon g dis t a n c es . X Pu shing : U sin g upp e r ex t r e m i t ie s t o p p r es s a g a ins t so m e t hin g w i t h s t e a d y fo r c e i n o r de r t o t h r u st fo rwar d , do w n war d , o r o ut war d . X Pu lling : U sin g upp e r e x t r e m i t ie s t o ex t e n t fo r c e i n o r de r t o d ra g , h a u l , o r tu g o b j e c t s i n a s u s t a ine d m o t i on . Foo t Mo t ion : U sin g fee t t o pu s h p ed a ls . X Lif t ing : R a isin g o b j e ct s f r o m a lo w e r t o a highe r p osi t io n o r m o v in g o b j e ct s ho r i z on t a ll y f r o m p osi t io n t o p osi t ion . Thi s f a ct o r i s i m p o r t a n t i f i t o c c u r s t o a c onside ra b l e deg r e e a n d r eq u i r e s s u b s t a n t i a l u s e o f t h e u p p e r ex t r e m i t i e s a n d b a c k mu s c les . X Finge r ing : P i c king , p in c hing , t y p ing , o r o t he rw is e w o r kin g w i t h finge r s r a t he r t h a n w i t h t h e w hol e h a n d o r ar m a s i n h a ndling . X G ra s p ing : App lyin g p r ess u r e t o a n o b j e c t w i t h t h e finge r s a n d p a l m . O cc a sion a ll y O cc a sion a ll y O cc a sion a ll y F r eq u en t l y F r eq u en t l y O cc a sion a ll y 2 . P HY S I C A L E F F O RT ( co n t . ) FR E Q U E N CY X T a lking : Ex p r essin g o r ex c h a ngin g id e a s b y m e a n s o f t h e s p oke n w o r d . Thos e a ct i v i t ie s i n w hi c h w o r ke r s mu s t c on v e y de t a ile d o r i mp o r t a n t s p oke n ins t r u c t ion s t o o t he r w o r ke r s a ccu ra t ely , l o u dly , o r q u i c kly . X H e ar ing : P e r c ei v in g t h e n a tu r e o f so u n ds w i t h o r w i t ho u t c o rr e ct ion . A b ili t y t o r e c ei v e d e t a ile d info r m a t io n t h r o u g h v e r b a l c o mmu n i c a t ion , a n d t o m a k e fin e dis c r i m in a t ion s i n so u nd , s uc h a s w he n m a kin g fin d a d j u s tm en t s o n m a c hine d p ar t s . Feeling : P e r c ei v in g at t r i b ut e s of o b j e ct s , s uc h a s si z e , sh a p e , t e mp e ra tu r e , o r t ex t u r e b y t o uc hin g w i t h skin , p ar t i cu l ar l y t h a t o f finge r t i p s . X R e p e t i t i v e S u b s t a n t i a l m o v e m e n t s ( m o t i o n s ) o f t h e wr is t s , h a nds , Mo t ion : a nd / o r finge r s . F r eq u en t l y F r eq u en t l y F r eq u en t l y 3 . W O R K I NG CO N D I TI O N S D i s a g ree a b l e j o b c o n d i t i o n s t o w h i ch t h e e m p l o y ee m a y b e ex p os e d a n d t h e fr e qu en c y (e. g . , co n t i n u a l l y , fre q u e n t ly , o r o cc a s i on a l ly ) o f t h is ex p o s u re . W O R K I NG C O N D I T I O N ENV I R O N M E NT A L F A C TOR N A T U R E / R E A S O N O F E X PO S U R E FR E Q U E N CY Di r t / D u s t N o is e Te m p e ra tu r e e x t r e m e s D am p n e s s V i br a t i on s E q u i p m e n t m o ve m e n t h az a r d C h e mi c a l s / s o l v e n t s E l ec t r ic a l s h o ck S i g n i f i c a n t w o r k p a c e / p re s s u r e O d o r s / F um es O t h e r ( s p ec i f y )